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Статті в журналах з теми "Function approximation and processing control"
Kuwahata, Yudai, Jun-ichi Kushida, and Satoshi Ono. "A Preliminary Study on Adaptive Evolution Control Using Rank Correlation for Surrogate-Assisted Evolutionary Computation." International Journal of Software Innovation 6, no. 4 (October 2018): 59–72. http://dx.doi.org/10.4018/ijsi.2018100105.
Повний текст джерелаKusaka, Takashi, and Takayuki Tanaka. "Fast and Accurate Approximation Methods for Trigonometric and Arctangent Calculations for Low-Performance Computers." Electronics 11, no. 15 (July 22, 2022): 2285. http://dx.doi.org/10.3390/electronics11152285.
Повний текст джерелаCybenko, G. "Approximation by superpositions of a sigmoidal function." Mathematics of Control, Signals, and Systems 2, no. 4 (December 1989): 303–14. http://dx.doi.org/10.1007/bf02551274.
Повний текст джерелаCybenko, G. "Approximation by superpositions of a sigmoidal function." Mathematics of Control, Signals, and Systems 5, no. 4 (December 1992): 455. http://dx.doi.org/10.1007/bf02134016.
Повний текст джерелаBabenko, Mikhail, Andrei Tchernykh, Bernardo Pulido-Gaytan, Arutyun Avetisyan, Sergio Nesmachnow, Xinheng Wang, and Fabrizio Granelli. "Towards the Sign Function Best Approximation for Secure Outsourced Computations and Control." Mathematics 10, no. 12 (June 10, 2022): 2006. http://dx.doi.org/10.3390/math10122006.
Повний текст джерелаDeeb, W., and R. Khalil. "Best approximation in function and operator spaces." Numerical Functional Analysis and Optimization 11, no. 9-10 (January 1990): 917–27. http://dx.doi.org/10.1080/01630569108816409.
Повний текст джерелаZatylkin, А. V., D. A. Goluschko, Y. A. Varenik, E. S. Dementeva, and B. L. Svistunov. "METHOD OF PROCESSING EXPERIMENTAL DATA BY LINEAR FUNCTIONS OF VARIABLE LENGTH." Issues of radio electronics, no. 12 (December 20, 2018): 74–82. http://dx.doi.org/10.21778/2218-5453-2018-12-74-82.
Повний текст джерелаGoubet, Olivier. "Finite element multilevel approximation of a function and applications." Numerical Functional Analysis and Optimization 15, no. 3-4 (January 1994): 279–99. http://dx.doi.org/10.1080/01630569408816566.
Повний текст джерелаMayorga-Macías, Walter A., Luis E. González-Jiménez, Marco A. Meza-Aguilar, and Luis F. Luque-Vega. "Low-Cost Experimental Methodology for the Dynamic Model Approximation of Multirotor Actuators." International Journal of Aerospace Engineering 2020 (July 11, 2020): 1–9. http://dx.doi.org/10.1155/2020/9263961.
Повний текст джерелаŽaimis, Uldis, Dzintars Tomsons, and Valdis Priedols. "SIMPLE DATA APPROXIMATION FOR COMPUTER AND CONTROLLER-AIDED DEVICES." SOCIETY. TECHNOLOGY. SOLUTIONS. Proceedings of the International Scientific Conference 1 (April 17, 2019): 14. http://dx.doi.org/10.35363/via.sts.2019.10.
Повний текст джерелаДисертації з теми "Function approximation and processing control"
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.
Книги з теми "Function approximation and processing control"
Farrell, Jay. Adaptive Approximation Based Control. New York: John Wiley & Sons, Ltd., 2006.
Знайти повний текст джерелаMarios, Polycarpou, ed. Adaptive approximation based control: Unifying neural, fuzzy and traditional adaptive approximation approaches. Hoboken, NJ: Wiley, 2006.
Знайти повний текст джерелаHerring, Charles E. Function requirements for combat engineer command and control in the Maneuver Control System. Champaign, Ill: US Army Corps of Engineers, Construction Engineering Research Laboratory, 1986.
Знайти повний текст джерелаP, Saratchandran, and Li Yan 1972-, eds. Fully tuned radial basis function neural networks for flight control. Boston: Kluwer Academic, 2002.
Знайти повний текст джерелаLectures On Constructive Approximation Fourier Spline And Wavelet Methods On The Real Line The Sphere And The Ball. Birkhauser Boston Inc, 2012.
Знайти повний текст джерелаHami, Abdelkhalak El, and Bouchaib Radi. Advanced Numerical Methods with Matlab 1: Function Approximation and System Resolution. Wiley & Sons, Incorporated, John, 2018.
Знайти повний текст джерелаHami, Abdelkhalak El, and Bouchaib Radi. Advanced Numerical Methods with Matlab 1: Function Approximation and System Resolution. Wiley & Sons, Incorporated, John, 2018.
Знайти повний текст джерелаHami, Abdelkhalak El, and Bouchaib Radi. Advanced Numerical Methods with Matlab 1: Function Approximation and System Resolution. Wiley & Sons, Incorporated, John, 2018.
Знайти повний текст джерелаHami, Abdelkhalak El, and Bouchaib Radi. Advanced Numerical Methods with Matlab 1: Function Approximation and System Resolution. Wiley & Sons, Incorporated, John, 2018.
Знайти повний текст джерелаLow Rank Approximation Algorithms Implementation Applications. Springer, 2011.
Знайти повний текст джерелаЧастини книг з теми "Function approximation and processing control"
Osman, Hassab Elgawi. "Architecture of Behavior-Based Function Approximator for Adaptive Control." In Advances in Neuro-Information Processing, 104–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03040-6_13.
Повний текст джерелаYlöstalo, Jyri. "Function Approximation Using Polynomials." In Streamlining Digital Signal Processing, 251–63. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118316948.ch26.
Повний текст джерелаHu, Chenyi, Ling T. He, and Shanying Xu. "Interval Function Approximation and Applications." In Advanced Information and Knowledge Processing, 119–34. London: Springer London, 2008. http://dx.doi.org/10.1007/978-1-84800-326-2_5.
Повний текст джерелаGe, Shuzhi S., Chang C. Hang, Tong H. Lee, and Tao Zhang. "Neural Networks and Function Approximation." In Stable Adaptive Neural Network Control, 27–46. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-6577-9_3.
Повний текст джерелаLi, Weihua, Tielin Shi, and Kang Ding. "Gear Crack Detection Using Kernel Function Approximation." In Neural Information Processing, 535–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11893295_59.
Повний текст джерелаPeng, Yiming, Gang Chen, Mengjie Zhang, and Shaoning Pang. "Generalized Compatible Function Approximation for Policy Gradient Search." In Neural Information Processing, 615–22. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46687-3_68.
Повний текст джерелаDocampo, D., D. R. Hush, and C. T. Abdallah. "Constructive Function Approximation: Theory and Practice." In Intelligent Methods in Signal Processing and Communications, 199–219. Boston, MA: Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-2018-3_9.
Повний текст джерелаDeb, Anish, and Srimanti Roychoudhury. "Function Approximation via Block Pulse Function and Related Functions." In Control System Analysis and Identification with MATLAB®, 35–54. First edition. | Boca Raton, FL : Taylor & Francis Group, 2018. | “A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc.”: CRC Press, 2018. http://dx.doi.org/10.1201/9780203731291-2.
Повний текст джерелаNguyen, Nhan T. "Function Approximation and Adaptive Control with Unstructured Uncertainty." In Model-Reference Adaptive Control, 151–84. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-56393-0_7.
Повний текст джерелаKushner, Harold J., and G. George Yin. "Applications in Signal Processing and Adaptive Control." In Stochastic Approximation Algorithms and Applications, 47–66. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4899-2696-8_3.
Повний текст джерелаТези доповідей конференцій з теми "Function approximation and processing control"
Rodriguez, N., P. Julian, and E. Paolini. "Function Approximation Using Symmetric Simplicial Piecewise-Linear Functions." In 2019 XVIII Workshop on Information Processing and Control (RPIC). IEEE, 2019. http://dx.doi.org/10.1109/rpic.2019.8882186.
Повний текст джерелаZhou, Suying, and Hui Lin. "Function approximation based on self-adaptive RBF neural network with combined clustering algorithm." In 2010 International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, 2010. http://dx.doi.org/10.1109/icicip.2010.5565283.
Повний текст джерелаAvargel, Yekutiel, and Israel Cohen. "Identification of linear systems with adaptive control of the cross-multiplicative transfer function approximation." In ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/icassp.2008.4518478.
Повний текст джерелаNovikov, Anatoly Ivanovich, Evgeny Yurievich Kholopov, Aleksey Igorevich Efimov, and Mikhail Borisovich Nikiforov. "Palm Gesture Recognition Technology Based on Comparison of Contour Autocorrelation Functions." In 32nd International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2022. http://dx.doi.org/10.20948/graphicon-2022-477-483.
Повний текст джерелаJumanov, I. I., R. A. Safarov, and O. I. Djumanov. "Error Control of Identification and Filtering of Micro-Object Images." In III All-Russian Scientific Conference with International Participation "Science, technology, society: Environmental engineering for sustainable development of territories". Krasnoyarsk Science and Technology City Hall, 2022. http://dx.doi.org/10.47813/nto.3.2022.6.109-124.
Повний текст джерелаLi, Dongqin, Philip A. Wilson, Yifeng Guan, and Xin Zhao. "An Effective Approximation Modeling Method for Ship Resistance in Multidisciplinary Ship Design Optimization." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-23407.
Повний текст джерелаMitkus, Rytis, Ayat Taleb Alashkar, and Michael Sinapius. "An Attempt to Topology Optimize 3D Printed Piezoelectric Composite Sensors for Highest D31 Output." In ASME 2021 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/smasis2021-68029.
Повний текст джерелаSpanakis, Constantinos, Emmanuel Mathioudakis, Manolis Tsiknakis, Nikos Kampanis, and Kostas Marias. "Function Approximation for Medical Image Registration." In 2018 41st International Conference on Telecommunications and Signal Processing (TSP). IEEE, 2018. http://dx.doi.org/10.1109/tsp.2018.8441336.
Повний текст джерелаZhong, Mingyuan, Mikala Johnson, Yuval Tassa, Tom Erez, and Emanuel Todorov. "Value function approximation and model predictive control." In 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL). IEEE, 2013. http://dx.doi.org/10.1109/adprl.2013.6614995.
Повний текст джерелаRozada, Sergio, Victor Tenorio, and Antonio G. Marques. "Low-rank State-action Value-function Approximation." In 2021 29th European Signal Processing Conference (EUSIPCO). IEEE, 2021. http://dx.doi.org/10.23919/eusipco54536.2021.9616008.
Повний текст джерелаЗвіти організацій з теми "Function approximation and processing control"
Montville, Thomas J., and Roni Shapira. Molecular Engineering of Pediocin A to Establish Structure/Function Relationships for Mechanistic Control of Foodborne Pathogens. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568088.bard.
Повний текст джерелаSteffens, John, Eithan Harel, and Alfred Mayer. Coding, Expression, Targeting, Import and Processing of Distinct Polyphenoloxidases in Tissues of Higher Plants. United States Department of Agriculture, November 1994. http://dx.doi.org/10.32747/1994.7613008.bard.
Повний текст джерелаYang, Xinwei, Huan Tu, and Xiali Xue. The improvement of the Lower Limb exoskeletons on the gait of patients with spinal cord injury: A protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2021. http://dx.doi.org/10.37766/inplasy2021.8.0095.
Повний текст джерелаDale, Naomi, Aneesa Khan, and Sophie Dale. Early intervention for vision and neurodevelopment in infants and very young children with visual impairment: a systematicreview. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2022. http://dx.doi.org/10.37766/inplasy2022.8.0080.
Повний текст джерелаMevarech, Moshe, Jeremy Bruenn, and Yigal Koltin. Virus Encoded Toxin of the Corn Smut Ustilago Maydis - Isolation of Receptors and Mapping Functional Domains. United States Department of Agriculture, September 1995. http://dx.doi.org/10.32747/1995.7613022.bard.
Повний текст джерелаTanny, Josef, Gabriel Katul, Shabtai Cohen, and Meir Teitel. Micrometeorological methods for inferring whole canopy evapotranspiration in large agricultural structures: measurements and modeling. United States Department of Agriculture, October 2015. http://dx.doi.org/10.32747/2015.7594402.bard.
Повний текст джерелаAlchanatis, Victor, Stephen W. Searcy, Moshe Meron, W. Lee, G. Y. Li, and A. Ben Porath. Prediction of Nitrogen Stress Using Reflectance Techniques. United States Department of Agriculture, November 2001. http://dx.doi.org/10.32747/2001.7580664.bard.
Повний текст джерела