Дисертації з теми "Network Dynamics Simulation"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся з топ-50 дисертацій для дослідження на тему "Network Dynamics Simulation".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Переглядайте дисертації для різних дисциплін та оформлюйте правильно вашу бібліографію.
Georgieva, Kristina Boyanova. "Boolean network simulation for exploring the dynamics of industrial networks." Thesis, Lancaster University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289295.
Повний текст джерелаDickson, Scott M. "Stochastic neural network dynamics : synchronisation and control." Thesis, Loughborough University, 2014. https://dspace.lboro.ac.uk/2134/16508.
Повний текст джерелаCorradini, Daniele. "Computational study of resting state network dynamics." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14524/.
Повний текст джерелаQuijada, Sergio. "A HYBRID SIMULATION METHODOLOGY TO EVALUATE NETWORK CENTRICDECISION MAKING UNDER EXTREME EVENTS." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2348.
Повний текст джерелаPh.D.
Other
Engineering and Computer Science
Modeling and Simulation
Rhomberg, Patrick. "On the parallelization of network diffusion models." Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5831.
Повний текст джерелаTiefert, Brian E. "Modeling control channel dynamics of the SAAM Architecture using the NS network simulation tool." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA371825.
Повний текст джерелаDewan, Leslie. "Molecular dynamics simulation and topological analysis of the network structure of actinide-bearing materials." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/86266.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references.
Actinide waste production and storage is a complex problem, and a whole-cycle approach to actinide management is necessary to minimize the total volume of waste. In this dissertation, I examine three actinide-bearing materials relevant to both the front end and back end of the nuclear fuel cycle: light water reactor (LWR) spent fuel stored in a crystalline ceramic medium (zircon), LWR spent fuel stored in a glassy medium (alkali borosilicate glass), and three molten salt systems (LiF-BeF2, LiF-ThF4 , and LiF-UF4). I model these materials using molecular dynamics (MD) simulations, and then perform a range of material-dependent analyses - including structural evaluation, species segregation, solubility limits, and assessment of transport properties - to examine their suitability as actinide-bearing materials. The initial portion of this work focuses on actinide waste storage media, examining the microstructural changes induced in zircon and alkali borosilicate glass doped with uranium. Alpha-decay of the uranium changes the structure of the host material, inducing amorphousness, recrystallization, and microcracking, among other structural changes. My work on actinide waste storage shows the utility of topological methods for quantifying the intermediate-range structure of amorphous systems. In many cases, the intermediate-range structure correlates with larger-scale properties, such as density and viscosity. I then identify three molten salt systems of interest - LiF-BeF2 , LiF-ThF4, and LiUF4 - as a focus for analysis. LiF-BeF2 is a coolant salt, and LiF-ThF4 and LiF-UF4 are fuel salts used on the front end of the nuclear fuel cycle in molten salt reactors (MSRs). MSRs can, in some configurations, achieve extremely high actinide bum-ups. Some molten salt reactors can also be fueled by the actinides in spent fuel produced by LWRs. While MSRs have many advantages, research into new designs often proceeds slowly because of gaps in available experimental data for the molten fuel and coolant salts. I use MD simulations to evaluate the transport properties and structure of these salts, and show that these simulations can be used reliably to augment the existing body of experimental data describing the salts' material properties. Furthermore, I examine how the structure of the salt correlates with its material properties, in particular its viscosity. I use network topology-based algorithms to describe the amorphous structure quantitatively. Network-based topological methods have never before been applied to molten salts, and many new insights can be gained from the analysis.
by Leslie Dewan.
Ph. D.
Sorichetti, Valerio. "Nanoparticle dynamics in polymer solutions and gels : a simulation approach." Thesis, Montpellier, 2019. http://www.theses.fr/2019MONTS113.
Повний текст джерелаPolymer nanocomposites, systems of polymers containing nanoparticles (NPs), are fascinating systems that have many applications in material science, biology and medicine, but also pose challenges to theoretical physics. One of the fundamental problems in the physics of nanocomposites is to understand how the structure and dynamics of the system depends on key parameters, such as NP size and volume fraction and the typical size of the polymeric mesh. In this thesis we use molecular dynamics simulations to study the structural and dynamic properties of NPs embedded in liquid and solid polymer-nanocomposites. We observe that when weakly attractive, well dispersed NPs are added to a dense polymer solution, both the polymers and the NPs experience a dynamical slowing down. We find that, in qualitative agreement with experiments, this dynamical slowing down is captured by a confinement parameter in the form h/λ, where h is the average distance between the surfaces of neighboring NPs (interparticle distance). We are able to show that for the NPs, λ can be interpreted as the hydrodynamic radius of the NP, whereas for the polymers it behaves as a cooperativity length scale. Simulating disordered, polydisperse polymer networks containing purely repulsive NPs, we find that small NPs can freely diffuse through the entanglement mesh, while large NPs are transiently trapped and can only move through a sequence of ``jumps'' (hopping motion). We find that the parameter controlling NP localization is the ratio between the NP diameter and the localization length of the crosslinks. Finally, we propose a new method to characterize the geometrical mesh size in polymer liquids, a quantity that is important to describe the diffusion of NP in a disordered medium
Ahlstrom, Logan Sommers. "Molecular Dynamics Simulation of the Effect of the Crystal Environment on Protein Conformational Dynamics and Functional Motions." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/255200.
Повний текст джерелаRao, Balappa Shrisha. "Fine structure in cortical connectivity : effects on network dynamics and function Dynamics and orientation selectivity in a cortical model of rodent V1 with excess bidirectional connections Theory of orientation selectivity in random binary networks." Thesis, Sorbonne Paris Cité, 2018. https://wo.app.u-paris.fr/cgi-bin/WebObjects/TheseWeb.woa/wa/show?t=2401&f=17357.
Повний текст джерелаThe local cortical network connectivity significantly deviates from a random network, giving rise to fine structure at the neuron-to-neuron level. In this study, we have investigated the effects of these fine structures on network dynamics and function. We have investigated two types of fine structure, namely, excess bidirectionality and feature specific connectivity. The study of the effects of excess bidirectionality was conducted in a conductance-based model of layer 2/3 in rodent V1. Through large scale numerical simulations, we showed that excess bidirectional connections in the inhibitory population leads to slower dynamics. Remarkably, we found that bidirectional connections between inhibitory cells are more efficacious in slowing down the dynamics than those between the excitatory cells. Additionally, bidirectional connections between inhibitory cells increases the trial-to-trial variability, while between the excitatory and inhibitory populations it reduces the variability leading to improved coding efficiency. Our results suggest that the strong reciprocal connections between excitatory and PV+ cells that have been experimentally reported can improve coding efficiency by reducing the signal-to-noise ratio. The second part of this work involved an analytical study of a model of layer 2/3 rodent V1 with binary neurons. In our study, we assumed that neurons in layer 4 were selective to stimuli orientation. Our results account for the changes in tuning properties observed during the critical period in mouse V1. Prior to the critical period, the connectivity between pyramidal neurons in the mouse V1 is non-specific. Following previous studies of spiking networks, we analytically demonstrated that with such connectivity, layer 2/3 neurons in our model develop orientation selectivity. A small fraction of strong feature specific connections between pyramidal cells have been reported in the mouse V1 after the critical period. We showed that, in spite of their small number, such connections can substantially impact the tuning of layer 2/3 cells to orientation: excitatory neurons become more selective and through non-specific global changes in their synaptic strengths, the inhibitory cells become more broadly tuned
Flanery, Trevor H. "Planning Local and Regional Development: Exploring Network Signal, Sites, and Economic Opportunity Dynamics." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/82907.
Повний текст джерелаPh. D.
Johnson, Tina V. "The Influence of Social Network Graph Structure on Disease Dynamics in a Simulated Environment." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc33173/.
Повний текст джерелаSchroeder, Florian Alexander Yinkan Nepomuk. "Tensor network states simulations of exciton-phonon quantum dynamics for applications in artifcial light-harvesting." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/275988.
Повний текст джерелаNagel, Michaela Büschken Joachim. "Flexibilitätsmanagement : ein systemdynamischer Ansatz zur quantitativen Bewertung von Produktionsflexibilität /." Wiesbaden : Dt. Univ.-Verl, 2003. http://www.gbv.de/dms/zbw/366397524.pdf.
Повний текст джерелаCharlebois, Daniel. "Computational Investigations of Noise-mediated Cell Population Dynamics." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/30339.
Повний текст джерелаLu, Xiaonan. "Effects of Transition Metal Oxide and Mixed-Network Formers on Structure and Properties of Borosilicate Glasses." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1404587/.
Повний текст джерелаVASCIAVEO, ALESSANDRO. "Computational models and algorithms to solve large-scale problems in Network Biology." Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2667593.
Повний текст джерелаRahimi, Mostafa. "Modeling and simulation of vehicle emissions for the reduction of road traffic pollution." Doctoral thesis, Università degli studi di Trento, 2023. https://hdl.handle.net/11572/365449.
Повний текст джерелаGarrihy, G. "Neural network simulation of dynamic speech perception." Thesis, University of Essex, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.317930.
Повний текст джерелаGrygier, Paul Arthur. "Distributed Dynamic System Simulation Using a Computer Network." The Ohio State University, 1988. http://rave.ohiolink.edu/etdc/view?acc_num=osu1391676035.
Повний текст джерелаEbert, Anthony C. "Dynamic queueing networks: Simulation, estimation and prediction." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/180771/1/Anthony_Ebert_Thesis.pdf.
Повний текст джерелаABDEL-MOMEN, SHERIF SAMIR. "DYNAMIC RESOURCE BALANCING BETWEEN TWO COUPLED SIMULATIONS." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1060893659.
Повний текст джерелаBaker, Joseph Lee. "Steered Molecular Dynamics Simulations of Biological Molecules." Diss., The University of Arizona, 2011. http://hdl.handle.net/10150/205416.
Повний текст джерелаMariotte, Guilhem. "Dynamic Modeling of Large-Scale Urban Transportation Systems." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSET010/document.
Повний текст джерелаCongestion in urban areas has become a major issue in terms of economic, social or environmental impact. For short or mid term, using dynamic road traffic simulation can help analyzing and providing guidelines to optimization policies of existing infrastructures. Today, because of the complexity of transport systems, classical modeling tools are limited to small geographical areas (of a district size). Computational time, together with simulation calibration, are notably very constraining at large scales. However, a new generation of models designed for metropolitan areas has arisen over the past decades. These models are based on a phenomenological relationship between travel production and the number of vehicles in a given spatial area of a road network, known as the Macroscopic Fundamental Diagram (MFD). This relationship, supported by empirical evidences from several cities around the world, has allowed the study of different traffic control schemes at a whole city scale, but was rarely used for traffic state forecasting. The aim of this PhD is to propose an efficient modeling tool, based upon the concept of MFD, to simulate and analyze traffic states in large metropolitan areas. The theoretical framework of this tool must be consistent and applicable for traffic state forecasting, development of new control policies, traffic emission estimation, etc. There are two major contributions in this PhD. The first one is analyzing the mathematical and physical properties of existing models, and formalizing the dynamics of several trip lengths inside the same urban zone. In particular, this formalization distinguishes between internal trips and trips crossing the zone. Flow merging and diverging issues are also addressed when congestion propagates from one zone to another. The second contribution is proposing a new trip-based model based on individual traveled distance. This approach allows to treat users independently (previously represented with continuous flows), and thus to define their characteristics more precisely to couple their trips with assignment models on different paths. Finally, examples of application from various collaborations are given in the last part of this thesis. It includes a simulation study of the Grand Lyon urban area (France), as well as new modules to simulate search-for-parking or perimeter control. This PhD is part of a European ERC project entitled MAGnUM: Multiscale and Multimodal Traffic Modeling Approach for Sustainable Management of Urban Mobility
Cairns, David Edward. "Synchronization in dynamic neural networks." Thesis, University of Stirling, 1993. http://hdl.handle.net/1893/21611.
Повний текст джерелаPham, Khoa Ngoc. "Conformational Dynamics and Stability Associated with Magnesium or Calcium Binding to DREAM in the Regulation of Interactions between DREAM and DNA or Presenilins." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2589.
Повний текст джерелаLamers, Eugen. "Contributions to Simulation Speed-up : Rare Event Simulation and Short-term Dynamic Simulation for Mobile Network Planning /." Wiesbaden : Vieweg + Teubner in GWV Fachverlage, 2008. http://d-nb.info/988382016/04.
Повний текст джерелаLamers, Eugen. "Contributions to simulation speed-up rare event simulation and short-term dynamic simulation for mobile network planning." Wiesbaden Vieweg + Teubner, 2007. http://d-nb.info/988382016/04.
Повний текст джерелаPan, YaDung. "Fuzzy adaptive recurrent counterpropagation neural networks: A neural network architecture for qualitative modeling and real-time simulation of dynamic processes." Diss., The University of Arizona, 1995. http://hdl.handle.net/10150/187101.
Повний текст джерелаRebholz, Matthew John. "Dynamic Spectrum Access Network Simulation and Classification of Secondary User Properties." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/23244.
Повний текст джерелаHowever, DSA requires user devices to monitor large amounts of bandwidth, and the user devices are often limited in their acceptable size, weight, and power. This greatly limits the usable bandwidth when using complex channel sensing methods. Therefore, this thesis focuses on energy detection for channel sensing.
Constraining computing requirements by operating with limited spectrum sensing equipment allows for efficient use of limited broadband by user devices. The research on using the Naïve Bayesian classifier coupled with energy detection and the UDNS serves as a strong starting point for supplementary work in the area of radio classification.
Master of Science
Stattner, Erick. "Contributions à l'étude des réseaux sociaux : propagation, fouille, collecte de données." Phd thesis, Université des Antilles-Guyane, 2012. http://tel.archives-ouvertes.fr/tel-00830882.
Повний текст джерелаGantt, James Dale. "Resource PERT (R-PERT) : a model for the dynamic simulation of project implementation with resource constraints." Diss., Georgia Institute of Technology, 1989. http://hdl.handle.net/1853/32789.
Повний текст джерелаBarbosa, Pedro. "Scalable wireless sensor networks for dynamic communication environments : simulation and modelling." Thesis, University of Southampton, 2011. https://eprints.soton.ac.uk/177575/.
Повний текст джерелаKettemann, Anita Stefanie. "Mathematical modelling and numerical simulation of chemosensitive cell dynamics in multidimensional tissue networks." Aachen Shaker, 2009. http://d-nb.info/1001048598/04.
Повний текст джерелаKos, Cristoffer, and Kristoffer Hermansson. "BUILDING AND SIMULATING DYNAMIC MODELS OF DISTRICT HEATING NETWORKS WITH MODELICA : Using Matlab to process data and automate modelling and simulation." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-36107.
Повний текст джерелаSmarta Flöden
Oko, Eni. "Study of power plant, carbon capture and transport network through dynamic modelling and simulation." Thesis, University of Hull, 2015. http://hydra.hull.ac.uk/resources/hull:11315.
Повний текст джерелаPaothong, Arnut. "Dynamic Processes in Network Goods: Modeling, Analysis and Applications." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4558.
Повний текст джерелаSmejkal, Jakub. "Dynamický stav modelu OMNeT++ pomocí SNMP." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236595.
Повний текст джерелаPant, Gaurav. "Hybrid Dynamic Modelling of Engine Emissions on Multi-Physics Simulation Platform. A Framework Combining Dynamic and Statistical Modelling to Develop Surrogate Models of System of Internal Combustion Engine for Emission Modelling." Thesis, University of Bradford, 2018. http://hdl.handle.net/10454/17223.
Повний текст джерелаMcConky, Katie Theresa. "Design and analysis of information fusion, dynamic sensor management rules for cyber security systems using simulation /." Online version of thesis, 2007. http://hdl.handle.net/1850/4895.
Повний текст джерелаPant, Gaurav, I. Felician Campean, Aleksandrs Korsunovs, Daniel Neagu, and Oscar Garcia-Afonso. "Hybrid Dynamic Modelling of Engine Emissions on Multi-Physics Simulation Platform." SAE, 2020. http://hdl.handle.net/10454/18376.
Повний текст джерелаThis paper introduces a hybrid dynamic modelling approach for the prediction of NOx emissions for a Diesel engine, based on a multi-physics simulation platform coupling a 1-D air path model (GT-Suite) with in-cylinder combustion model (CMCL Stochastic Reactor Model Engine Suite). The key motivation for this research was the requirement to establish a real time stochastic simulation capability for emissions predictions early in engine development, which required the replacement of the slow combustion chemistry solver (SRM) with an appropriate surrogate model. The novelty of the approach in this research is the introduction of a hybrid approach to metamodeling that combines dynamic experiments for the gas path model with a zonal optimal space-filling design of experiments (DoEs) for the combustion model. The dynamic experiments run on the virtual Diesel engine model (GT- Suite) was used to fit a dynamic model for the parameters required as input to the SRM. Optimal Latin Hypercubes (OLH) DoE run on the SRM model was used to fit a response surface model for the NOx emissions. This surrogate NOx model was then used to replace the computationally expensive SRM simulation, enabling real time simulations of transient drive cycles to be executed. The performance of the proposed approach was validated on a simulated NEDC drive cycle against experimental data collected for the engine case study, which proved the capability of methodology to capture the transient trends for the NOx emissions. The significance of this work is that it provided an efficient approach to the development of a global model with real time transient modelling capability based on the integration of dynamic and local DoE metamodeling experiments.
The full-text of this article will be released for public view at the end of the publisher embargo on 12 Aug 2021.
Lingasubramanian, Karthikeyan. "Estimation of switching activity in sequential circuits using dynamic Bayesian Networks." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000411.
Повний текст джерелаLee, Jung-Hoon. "The modelling and simulation of dynamic supply chain networks : a multi-agent systems approach." Thesis, University of Cambridge, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.411233.
Повний текст джерелаChen, Xiaoting. "Optimal Control of Non-Conventional Queueing Networks: A Simulation-Based Approximate Dynamic Programming Approach." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1427799942.
Повний текст джерелаGARAU, MICHELE. "DEVELOPMENT OF CO-SIMULATION PLATFORMS FOR STATIC AND DYNAMIC ANALYSIS OF SMART DISTRIBUTION NETWORKS." Doctoral thesis, Università degli Studi di Cagliari, 2018. http://hdl.handle.net/11584/255955.
Повний текст джерелаJeynes, Smith Cailan. "Mathematical modelling of ultrasensitivity in enzyme-mediated reactions." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/174502/1/Cailan_Jeynes%20Smith_Thesis.pdf.
Повний текст джерелаKettemann, Anita S. [Verfasser]. "Mathematical modelling and numerical simulation of chemosensitive cell dynamics in multidimensional tissue networks / Anita S Kettemann." Aachen : Shaker, 2010. http://d-nb.info/1124364048/34.
Повний текст джерелаZone, Douglas Davidson. "Simulation and optimization of dynamic resource allocation strategies in a single server queu[e]ing network." Thesis, Massachusetts Institute of Technology, 1990. http://hdl.handle.net/1721.1/14114.
Повний текст джерелаTitle as it appears in the M.I.T. Graduate List, June 1990: Performance analysis and optimization queing [sic] networks in a dynamic environment.
Includes bibliographical references (leaf 162).
by Douglas Davidson Zone.
M.S.
Bataineh, Mohammad Hindi. "New neural network for real-time human dynamic motion prediction." Thesis, The University of Iowa, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3711174.
Повний текст джерелаArtificial neural networks (ANNs) have been used successfully in various practical problems. Though extensive improvements on different types of ANNs have been made to improve their performance, each ANN design still experiences its own limitations. The existing digital human models are mature enough to provide accurate and useful results for different tasks and scenarios under various conditions. There is, however, a critical need for these models to run in real time, especially those with large-scale problems like motion prediction which can be computationally demanding. For even small changes to the task conditions, the motion simulation needs to run for a relatively long time (minutes to tens of minutes). Thus, there can be a limited number of training cases due to the computational time and cost associated with collecting training data. In addition, the motion problem is relatively large with respect to the number of outputs, where there are hundreds of outputs (between 500-700 outputs) to predict for a single problem. Therefore, the aforementioned necessities in motion problems lead to the use of tools like the ANN in this work.
This work introduces new algorithms for the design of the radial-basis network (RBN) for problems with minimal available training data. The new RBN design incorporates new training stages with approaches to facilitate proper setting of necessary network parameters. The use of training algorithms with minimal heuristics allows the new RBN design to produce results with quality that none of the competing methods have achieved. The new RBN design, called Opt_RBN, is tested on experimental and practical problems, and the results outperform those produced from standard regression and ANN models. In general, the Opt_RBN shows stable and robust performance for a given set of training cases.
When the Opt_RBN is applied on the large-scale motion prediction application, the network experiences a CPU memory issue when performing the optimization step in the training process. Therefore, new algorithms are introduced to modify some steps of the new Opt_RBN training process to address the memory issue. The modified steps should only be used for large-scale applications similar to the motion problem. The new RBN design proposes an ANN that is capable of improved learning without needing more training data. Although the new design is driven by its use with motion prediction problems, the consequent ANN design can be used with a broad range of large-scale problems in various engineering and industrial fields that experience delay issues when running computational tools that require a massive number of procedures and a great deal of CPU memory.
The results of evaluating the modified Opt_RBN design on two motion problems are promising, with relatively small errors obtained when predicting approximately 500-700 outputs. In addition, new methods for constraint implementation within the new RBN design are introduced. Moreover, the new RBN design and its associated parameters are used as a tool for simulated task analysis. This work initiates the idea that output weights (W) can be used to determine the most critical basis functions that cause the greatest reduction in the network test error. Then, the critical basis functions can specify the most significant training cases that are responsible for the proper performance achieved by the network. The inputs with the most change in value can be extracted from the basis function centers (U) in order to determine the dominant inputs. The outputs with the most change in value and their corresponding key body degrees-of-freedom for a motion task can also be specified using the training cases that are used to create the network's basis functions.
Hertweck, Bryan M. "Examining Electronic Markets in Which Intelligent Agents Are Used for Comparison Shopping and Dynamic Pricing." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/29037.
Повний текст джерелаPh. D.