Дисертації з теми "Function approximation and processing control"
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Skelly, Margaret Mary. "Hierarchical Reinforcement Learning with Function Approximation for Adaptive Control." Case Western Reserve University School of Graduate Studies / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=case1081357818.
Повний текст джерелаSwingler, Kevin. "Mixed order hyper-networks for function approximation and optimisation." Thesis, University of Stirling, 2016. http://hdl.handle.net/1893/25349.
Повний текст джерелаHaro, Antonio. "Example Based Processing For Image And Video Synthesis." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/5283.
Повний текст джерелаEbeigbe, Donald Ehima. "CONTROL OF RIGID ROBOTS WITH LARGE UNCERTAINTIES USING THE FUNCTION APPROXIMATION TECHNIQUE." Cleveland State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=csu1568034334694515.
Повний текст джерелаLee, Jong Min. "A Study on Architecture, Algorithms, and Applications of Approximate Dynamic Programming Based Approach to Optimal Control." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5048.
Повний текст джерелаGrönlund, Christer. "Spatio-temporal processing of surface electromyographic signals : information on neuromuscular function and control." Doctoral thesis, Umeå universitet, Institutionen för strålningsvetenskaper, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-958.
Повний текст джерелаGrönlund, Christer. "Spatio-temporal processing of surface electromyographic signals : information on neuromuscular function and control /." Umeå : Umeå universitet, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-958.
Повний текст джерелаDadashi, Shirin. "Modeling and Approximation of Nonlinear Dynamics of Flapping Flight." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/78224.
Повний текст джерелаPh. D.
Kölling, Peter [Verfasser]. "Numerical studies on coherent control of semiconductor quantum dots based on k.p-calculations in envelope function approximation / Peter Kölling." Paderborn : Universitätsbibliothek, 2019. http://d-nb.info/1176019848/34.
Повний текст джерелаHerron, Robyn. "Connectivity analysis of brain function in children with foetal alcohol spectrum disorder and control children during number processing." Master's thesis, University of Cape Town, 2008. http://hdl.handle.net/11427/3244.
Повний текст джерелаIncludes bibliographical references (leaves 84-91).
Maternal drinking during pregnancy is a significant problem in the Western Cape, South Africa, with an accompanying high incidence of children diagnosed with foetal alcohol spectrum disorder (FASD). Little is known about the neural correlates governing the disorder that manifest as behavioural abnormalities and cognitive impairments, particularly in arithmethic calculation, repeatedly reported in affected children. The effect of prenatal alcohol exposure on number processing in children was investigated in a functional magnetic resonance imaging (fMRI) study (Meintjes et al., 2007). The results indicate significant differences in activation between alcohol-exposed and non-exposed control children during Exact Addition and Proximity Judgement tasks. This raised the question of whether the groups of children differ in functional connectivity during the number processing tasks. Therefore, the objective of this study was to analyse connectivity between functionally specialised brain areas in the previously collected fMRI data. The fMRI data of 14 controls and 7 alcohol-exposed children for Exact Addition and 15 controls and 9 alcohol-exposed children for Proximity Judgement was available for analysis. A primary aim was to determine normal functional connectivity in control children during number processing and a secondary aim, to investigate any differences in functional connectivity in children with FASD.
Poungponsri, Suranai. "An Approach Based On Wavelet Decomposition And Neural Network For ECG Noise Reduction." DigitalCommons@CalPoly, 2009. https://digitalcommons.calpoly.edu/theses/101.
Повний текст джерелаWang, Lu. "Task Load Modelling for LTE Baseband Signal Processing with Artificial Neural Network Approach." Thesis, KTH, Signalbehandling, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-160947.
Повний текст джерелаDenna avhandling utvecklar ett automatiskt eller ett guidat automatiskt verktyg for att forutsaga behov av hardvaruresurser, ocksa kallat uppgiftsbelastning, med avseende pa programvarans algoritmparametrar i en LTE basstation. I signalbehandling i en LTE basstation, ar det viktigt att fa kunskap om hur mycket av hardvarans resurser som kommer att tas i bruk nar en programvara ska koras pa en viss plattform. Informationen ar vardefull for nagon att forsta systemet och plattformen battre, vilket kan mojliggora en rimlig anvandning av tillgangliga resurser. Processen att utveckla verktyget anses vara processen att bygga en matematisk modell mellan hardvarans belastning och programvaruparametrarna, dar processen denieras som approximation av en funktion. Enligt den universella approximationssatsen, kan problemet losas genom en intelligent metod som kallas articiella neuronnat (ANN). Satsen visar att en godtycklig funktion kan approximeras med ett tva-skiktS neuralt natverk sa lange aktiveringsfunktionen och antalet dolda neuroner ar korrekt. Avhandlingen dokumenterar ett arbets- ode for att bygga modellen med ANN-metoden, samt studerar matematiska metoder for val av delmangder av data, sasom Partiell korrelation och sekventiell sokning som dataforbehandlingssteg for ANN. For att gora valet av uppgifter som lampar sig for ANN har en andring gjorts i den sekventiella sokmetoden, som ger battre resultat. Resultaten visar att det ar mojligt att utveckla ett sadant guidat automatiskt verktyg for prediktionsandamal i LTE basbandssignalbehandling under specika precisions begransningar. Jamfort med andra metoder, har dessa modellverktyg med intelligent tillvagagangssatt en hogre precisionsniva och battre adaptivitet, vilket innebar att den kan anvandas i godtycklig del av plattformen aven om overforingskanalerna ar olika.
Aburakhis, Mohamed Khalifa I. Dr. "Continuous Time and Discrete Time Fractional Order Adaptive Control for a Class of Nonlinear Systems." University of Dayton / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1565018404845161.
Повний текст джерелаParsons, Colton A. "Variable Precision Tandem Analog-to-Digital Converter (ADC)." DigitalCommons@CalPoly, 2014. https://digitalcommons.calpoly.edu/theses/1255.
Повний текст джерелаNguyen, Huu Phuc. "Développement d'une commande à modèle partiel appris : analyse théorique et étude pratique." Thesis, Compiègne, 2016. http://www.theses.fr/2016COMP2323/document.
Повний текст джерелаIn classical control theory, the control law is generally built, based on the theoretical model of the system. That means that the mathematical equations representing the system dynamics are used to stabilize the closed loop. But in practice, the actual system differs from the theory, for example, the nonlinearity, the varied parameters and the unknown disturbances of the system. The proposed approach in this work is based on the knowledge of the plant system by using not only the analytical model but also the experimental data. The input values stabilizing the system on open loop, that minimize a cost function, for example, the distance between the desired output and the predicted output, or maximize a reward function are calculated by an optimal algorithm. The key idea of this approach is to use a numerical behavior model of the system as a prediction function on the joint state and input spaces or input-output spaces to find the controller’s output. To do this, a new non-linear control concept is proposed, based on an existing controller that uses a prediction map built on the state-space. The prediction model is initialized by using the best knowledge a priori of the system. It is then improved by using a learning algorithm based on the sensors’ data. Two types of prediction map are employed: the first one is based on the state-space model; the second one is represented by an input-output model. The output of the controller, that minimizes the error between the predicted output from the prediction model and the desired output, will be found using optimal algorithm. The application of the proposed controller has been made on various systems. Some real experiments for quadricopter, some actual tests for the electrical vehicle Zoé show its ability and efficiency to complex and fast systems. Other the results in simulation are tested in order to investigate and study the performance of the proposed controller. This approach is also used to estimate the rotor speed of the induction machine by considering the rotor speed as the input of the system
Djaneye-Boundjou, Ouboti Seydou Eyanaa. "Particle Swarm Optimization Stability Analysis." University of Dayton / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1386413941.
Повний текст джерелаDoležal, Tomáš. "Rekonstrukce tvaru objektu založená na odezvě max(t,0)-pulsu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413154.
Повний текст джерелаPomportes-Castagnet, Laura. "Influence de stratégies nutritionnelles sur le fonctionnent cognitif au cours d’une sollicitation physiologique." Thesis, Université Côte d'Azur (ComUE), 2018. http://www.theses.fr/2018AZUR4057/document.
Повний текст джерелаIn sport and exercise activities, successful performances strongly depend on the ability to simultaneously carry out cognitive and physical demands. More precisely, it would seem that performance is frequently influenced by the efficacy of decision-making realized under strong temporal pressure. The aim of this thesis work is to assess the effect of nutritional supplements that is carbohydrate, caffeine and guarana on cognitive functions during an acute exercise. Overall, our results suggest that ingestion of these three supplements enhance speed of information processing during a decision-making task at the end of exercise. Additionally, caffeine mouth rinsing seems worthwhile since a likely enhancement of inhibition processes has been reported after use during exercise. Finally, a decrease of perceived exertion has been reported with caffeine and guarana ingestion along with carbohydrate mouth rinsing. In conclusion, our results indicate the potentiation of exercise effects on cognitive function. Furthermore, they suggest nutritional supplements could enhance cognitive processes during exercise in what may be a predictive factor of performance enhancement
Goubet, Étienne. "Contrôle non destructif par analyse supervisée d'images 3D ultrasonores." Cachan, Ecole normale supérieure, 1999. http://www.theses.fr/1999DENS0011.
Повний текст джерелаCastano, Antoine. "Methode d'analyse des cotes de fabrication." Paris 6, 1988. http://www.theses.fr/1988PA066123.
Повний текст джерелаLunot, Vincent. "Techniques d'approximation rationnelle en synthèse fréquentielle : problème de Zolotarev et algorithme de Schur." Phd thesis, Université de Provence - Aix-Marseille I, 2008. http://tel.archives-ouvertes.fr/tel-00711860.
Повний текст джерелаVaiter, Samuel. "Régularisations de Faible Complexité pour les Problèmes Inverses." Phd thesis, Université Paris Dauphine - Paris IX, 2014. http://tel.archives-ouvertes.fr/tel-01026398.
Повний текст джерелаVestin, Albin, and Gustav Strandberg. "Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms." Thesis, Linköpings universitet, Reglerteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020.
Повний текст джерела(20390), Baolin Wu. "Fuzzy modelling and identification with genetic algorithms based learning." Thesis, 1996. https://figshare.com/articles/thesis/Fuzzy_modelling_and_identification_with_genetic_algorithms_based_learning/21345057.
Повний текст джерелаModelling is an essential step towards a solution to complex system problems. Traditional mathematical methods are inadequate in describing the complex systems when the complexity increases. Fuzzy logic has provided an alternative way in dealing with complexity in real world.
This thesis looks at a practical approach for complex system modelling using fuzzy logic. This approach is usually called fuzzy modelling. The main aim of this thesis is to explore the capabilities of fuzzy logic in complex system modelling using available data. The fuzzy model concerned is the Sugeno-Takage-Kang model (TSK model). A genetic algorithm based learning algorithm (GABL) is proposed for fuzzy modelling. It basically contains four blocks, namely the partition, GA, tuning and termination blocks. The functioning of each block is described and the proposed algorithm is tested using a number of examples from different applications such as function approximation and processing control.
Lai, Jiun-Jao, and 賴俊兆. "Bilinear System Control Using Function Approximation Technique." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/25167568604284579800.
Повний текст джерела國立臺灣大學
生物產業機電工程學研究所
97
This study presents a new adaptive controller based on function approximation technique for uncertain nonhomogeneous bilinear systems containing time-varying uncertainties with unknown bounds. For applying conventional robust strategies, we must know the variation bounds of some of the uncertainties. Moreover, due to the time-varying property of these uncertainties, traditional adaptive schemes can not be adopted. This paper solves the stabilization problem when FAT (Function Approximation Technique) is used to approximate the time-varying nonlinearity with unknown bounds of the system and results bounded error performance is generated. Meanwhile, the singularity problem of the control input can be overcome if the bound of the input gain matrix is available. The proposed approach is based on Lyapunov-like function with rigorous derivation. The computer simulation result is provided to verify the performance of the proposed method.
Cheng, Hung-Yeh, and 鄭鴻業. "TCMAC for Function Approximation and Motor Control." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/u58t27.
Повний текст джерела中原大學
電機工程研究所
91
Abstract The purpose of this paper are to investigate structure of Cerebellar Model Articulation Controller with triangle membership functions (TCMAC),where the TCMAC is used to assist the original proportional control system. The proposed TCMAC was adopted here are regular triangle membership functions. The rectangular function in the conventional CMAC are replaced with membership functions of fuzzy theory for smoothing the network output and obtaining the optimal solution. Because the CMAC’s error was evenly distributed to every mapped memory. It would easy converge at local optimal solution and the CMAC’s output was not as smooth as the target function. In order to improve the CMAC’s approximation ability and to simplify the TCMAC structure, we adopted the membership functions, also, we employ a structure of signal input instead of the structure of two input. Therefore, the propose structure can reduce the memory requirement a great deal in the conventional CMAC. Beside, correcting the TCMAC shortens the design procedure and reduces the difficulties in design. The results of this propose designed algorithm was tested with program simulation. According to simulated result, the TCMAC structure was fund that the learning speed of TCMAC is faster the conventional CMAC. Finally the simulation result for the controlled motor system by P controller and TCMAC. where the propose structure has cuts down the temporary state respond time and shorten the stable state time. It has performed to demonstrate the feasibility and to understand the improvement in its control performance.
Chie, Ming Chih, and 簡銘志. "Adaotive impedance control of robot manipulators based on function approximation thechnique." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/64798792048025023144.
Повний текст джерела國立臺灣科技大學
機械工程系
91
This thesis presents an adaptive impedance control scheme for an n-link constrained rigid robot manipulator without using the regressor. In addition, inversion of the estimated inertia matrix is also avoided and the new design is free from end-point acceleration measurements. The dynamics of the robot manipulator is assumed that all of the matrices in robot model are unavailable. Since these matrices are time-varying and their variation bounds are not given, traditional adaptive or robust designs do not apply. The function approximation technique is used here to represent uncertainties in some finite linear combinations of the orthogonal basis. The dynamics of the output tracking can thus be proved to be a stable first order filter driven by function approximation errors. Using the Lyapunov stability theory, a set of update laws is derived to give closed loop stability with proper tracking performance. A 2 DOF planar robot with environment constraint is used in the computer simulations to test the efficacy of the proposed scheme.
Lee, Chih-Hsuan, and 李志軒. "Adaptive Control for Surge of Centrifugal Compressors - A Function Approximation Approach." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/25384703343056586085.
Повний текст джерела淡江大學
航空太空工程學系碩士班
97
Compressor instabilities in fluid field such as surge is the main instabilities phenomena in operation of jet engine. It reduces the performance by energy loss and causes structural damage by vibration due to the instabilities. In this study, we use drive torque actuation in active surge control of centrifugal compressor by function approximation approach to design. The proposed method is simulated on a compressor model using a real compression system.
Chang, Lee-Shang, and 張力祥. "Differentiable Cerebellar Model Articulation Controller for Function Approximation and Motor Control." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/65829777330659379999.
Повний текст джерела中原大學
電機工程研究所
91
he cerebellar model articulation controller (CMAC) with rectangular function used in the receptive field owns the property of evenly weighting to access ,store and renew the data of memory units . But the output of this kind of CMAC is stairwise and not differentiable .To improve this disadvantage ,the differentiable CMAC(DCMAC) with gaussiam function instead can effectively make the output differentiable . In this thesis ,it is shown that the performance of a DCMAC is better than that a CMAC. Furthermore ,the DCMAC two with modified gaussiam function for weighting was testified proposed and the one with a “blunt” gaussiam function is called the blunt DCMAC and ”aculeate” gaussiam function is called the aculeate DCMAC .The simulation results show that the blunt DCMAC works better than others in function approximation ,and the aculeate DCMAC in control performance.
Lee, Shih-Chiang, and 李世強. "An Adaptive Control for Rotating Stall and Surge of Jet Engines - A Function Approximation Approach." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/01437820233718229456.
Повний текст джерела淡江大學
航空太空工程學系
93
Compressor instabilities such as surge and rotating stall are highly unwanted phenomena in operation of jet engines. This is because these two instabilities reduce the performance and cause damage to aircraft engines. In this study, we design a model reference adaptive controller based on the function approximation technique to stabilize these two instabilities. Based upon this scheme, the controller parameters neither are restricted to be constant nor the bounds should be available a priori. The functions of the controller parameters are assumed to be piecewise continuous and satisfy the Dirichlet''s conditions. Furthermore expressing these controller parameters in a finite-term Fourier series, they can be estimated by updating the Fourier coefficients.A Lyapunov stability approach is implemented to provide the update laws for the estimation of those time-invariant coefficients and guarantees the output error convergence.Therefore, the adaptive controller requires less model information and maintains consistent performance for the system when some controller parameters are disturbed.
Chen, Po-Chang, and 陳柏璋. "Function Approximation Technique Based Adaptive Control Design for Uncertain Non-autonomous Systems with Applications to Hydraulic Active Suspension Systems." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/58932194922584700159.
Повний текст джерела國立臺灣科技大學
機械工程系
93
This dissertation addresses the problem of controlling four classes of non-autonomous systems containing general uncertainties (i.e., unknown time-varying nonlinearities without available variation bounds) with investigations to the design of hydraulic active suspension systems (ASS). Owing to the presence of the general uncertainties in the system dynamics, traditional adaptive schemes or robust control strategies are not applicable. To deal with this problem, this dissertation proposes several stable adaptive controllers based on function approximation technique (FAT), some of which are then applied to the ASS. Therefore, this dissertation is organized into two parts: Part 1 develops the FAT based adaptive control theory and Part 2 presents the control of ASS using FAT based adaptive controllers. In Part 1, we first derive a FAT based adaptive tracking controller for a class of matched single-input single-output (SISO) non-autonomous systems with general uncertainties. The FAT is used to construct approximation models for uncertainties, so that their update laws can be chosen from the conventional Lyapunov-like design to ensure the closed-loop stability. Different from the approaches using state-dependent approximation models (SDAM), such as neural networks or fuzzy systems, here we employ time-dependent orthogonal basis functions to be the approximator. By utilizing the proposed controller, uniformly ultimate boundedness of the closed-loop system can be arrived at along with guaranteed transient-state performance. Afterwards, we consider a class of uncertain SISO systems in “perturbed chain-of-integrator” form. Since the structure of the system is much more complicated than that in strict-feedback or pure-feedback form, most of SDAM based backstepping designs are infeasible. To deal with the problem, this dissertation proposes an adaptive multiple-surface tracking (AMST) controller, where the multiple-surface design is used to cope with the uncertainty mismatch problem and the uncertainties in each error surface are still tackled by the FAT based function estimators (consisting of time-dependent approximators with proper update laws). Because of the state independence of the approximators, the real control input will not appear until the last step of the derivation comes up. Hence, the pure-feedback restriction can be completely removed. Uniformly ultimately bounded performance is still obtained by means of the AMST design. In addition, explicit upper bound for the error signals of each error surface is acquired with adjustable size to avoid unwanted peaking phenomenon. The result of the adaptive tracking controller (in matched SISO case) is then extended to a matched MIMO square system whose subsystems are of different block sizes. By utilizing the extended controller to cope with the matched uncertainties in each and every subsystem, similar performance result as in SISO counterpart is guaranteed. At the end of Part 1, the AMST method is combined with the extended adaptive tracking controller to form a systematic design procedure for a mismatched MIMO square system composed of several perturbed chain-of-integrator subsystems with full interconnection among each other. This system is beyond the assumption of “block-triangular” form and the combination provides an effective tool to deal with its control problem. The closed-loop system with the extended ASMT controller can be shown to be uniformly ultimately bounded and the transient performance can be also ensured. In spite of the above development, an important issue to be considered in implementing the control laws is the “singular problem”. To avoid this problem, in the proposed designs, the input-channel uncertainties are suppressed by employing a robust control term with additional assumption that the bounds of the input-channel uncertainties (or input-channel uncertainty matrix in MIMO cases) are available. Modifications for the term to be feasible in either SISO or MIMO case are made in this dissertation with statements to the required conditions. In Part 2, we proceed to investigate the control of a non-autonomous quarter-car ASS with uncertain passive components, unknown car-body loads, and external disturbances on the car-body part. Since most of these uncertainties are of unknown bounds and some of them yet possess time-varying nature, the ASS designs based on traditional adaptive schemes or robust strategies are infeasible. The FAT based adaptive tracking controller is thus applied to deal with the uncertain car-body dynamics, so that the car-body motion can be convergent to some pre-described desired trajectories. Afterwards, a nonlinear filter is introduced into the control loop to generate the car-body desired trajectory, which is able to switch the objective between ride comfort and suspension travel according to the current suspension deflection. To realize the control force, a hydraulic actuator is employed with consideration to its uncertain dynamics. The FAT based adaptive tracking controller is again used to achieve the force tracking of the actuator. Then, the actuator model is combined with the uncertain ASS to form a full-blown model of the quarter-car hydraulic ASS. In order to cope with both of the matched (in actuator part) and the mismatched (in suspension part) uncertainties, an AMST controller is derived. The objective is the same as in the case without actuator to accomplish the tracking control of the car-body motion with incorporation of the nonlinear filter. The closed-loop stability (including the internal dynamics) is ensured via the Lyapunov analysis and computer simulations are performed to verify the effectiveness of the proposed methods.
Tsai, Chun-Fu, and 蔡竣富. "The Research of Function Processing Select Program to Improve the Efficiency by Designing and Developing of ASP.NET Chart Control Technology." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/26952210223839584974.
Повний текст джерела國立高雄應用科技大學
電機工程系博碩士班
101
Taiwan Power Company distributes user into ten contract categories and thirty-four industry categories according to Electricity property from user. The user’s Load Synthesis will affect Taiwan Power Company to formulate tariff Rate. The Load Synthesis of user groups can be analyzed through the load Characteristics Investigation procedure of user group. The load survey data is real huge. The management and efficiency use of the data will affect the load composition analysis. Besides, in order to reduce the operation uninitiated because of the personnel Changes of Taiwan Power Company, it is obvious that the analyzing platform of user group Load composition is designed through the standard program establishment is important. This survey uses object-oriented concept to design this analyzing platform, and integrates Web-based database technique to achieve the target for platform friendly. This study will illustrate how to establish function processing select program by object-oriented technology, establish platform and integrated related database. The consequence of this research make user can achieve load composition analysis quickly through this platform, and promote the degree of credibility and reliability of the tariff rate for the Taiwan Power Company. Keywords:Function processing select program、Load Survey、Load Synthesis、Network Database
Zaspel, Joachim C. "Automating pilot function performance assesssment using fuzzy systems and a genetic algorithm." Thesis, 1997. http://hdl.handle.net/1957/33694.
Повний текст джерелаGraduation date: 1998
"Investigating the Influence of Top-Down Mechanisms on Hemispheric Asymmetries in Verbal Memory." Doctoral diss., 2013. http://hdl.handle.net/2286/R.I.18703.
Повний текст джерелаDissertation/Thesis
Ph.D. Speech and Hearing Science 2013
Krishnanand, K. N. "Glowworm Swarm Optimization : A Multimodal Function Optimization Paradigm With Applications To Multiple Signal Source Localization Tasks." Thesis, 2007. http://hdl.handle.net/2005/480.
Повний текст джерелаAbdulla, Mohammed Shahid. "Simulation Based Algorithms For Markov Decision Process And Stochastic Optimization." Thesis, 2008. http://hdl.handle.net/2005/812.
Повний текст джерела(9741149), Lintao Ye. "Algorithmic and Graph-Theoretic Approaches for Optimal Sensor Selection in Large-Scale Systems." Thesis, 2020.
Знайти повний текст джерелаSchomburg, Helen. "New Algorithms for Local and Global Fiber Tractography in Diffusion-Weighted Magnetic Resonance Imaging." Doctoral thesis, 2017. http://hdl.handle.net/11858/00-1735-0000-0023-3F8B-F.
Повний текст джерела