Academic literature on the topic 'Function approximation and processing control'
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Journal articles on the topic "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.
Full textKusaka, 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.
Full textCybenko, 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.
Full textCybenko, 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.
Full textBabenko, 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.
Full textDeeb, 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.
Full textZatylkin, 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.
Full textGoubet, 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.
Full textMayorga-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.
Full textŽaimis, 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.
Full textDissertations / Theses on the topic "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.
Full textSwingler, Kevin. "Mixed order hyper-networks for function approximation and optimisation." Thesis, University of Stirling, 2016. http://hdl.handle.net/1893/25349.
Full textHaro, Antonio. "Example Based Processing For Image And Video Synthesis." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/5283.
Full textEbeigbe, 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.
Full textLee, 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.
Full textGrönlund, 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.
Full textGrönlund, 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.
Full textDadashi, Shirin. "Modeling and Approximation of Nonlinear Dynamics of Flapping Flight." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/78224.
Full textPh. 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.
Full textHerron, 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.
Full textIncludes 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.
Books on the topic "Function approximation and processing control"
Farrell, Jay. Adaptive Approximation Based Control. New York: John Wiley & Sons, Ltd., 2006.
Find full textMarios, Polycarpou, ed. Adaptive approximation based control: Unifying neural, fuzzy and traditional adaptive approximation approaches. Hoboken, NJ: Wiley, 2006.
Find full textHerring, 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.
Find full textP, Saratchandran, and Li Yan 1972-, eds. Fully tuned radial basis function neural networks for flight control. Boston: Kluwer Academic, 2002.
Find full textLectures On Constructive Approximation Fourier Spline And Wavelet Methods On The Real Line The Sphere And The Ball. Birkhauser Boston Inc, 2012.
Find full textHami, Abdelkhalak El, and Bouchaib Radi. Advanced Numerical Methods with Matlab 1: Function Approximation and System Resolution. Wiley & Sons, Incorporated, John, 2018.
Find full textHami, Abdelkhalak El, and Bouchaib Radi. Advanced Numerical Methods with Matlab 1: Function Approximation and System Resolution. Wiley & Sons, Incorporated, John, 2018.
Find full textHami, Abdelkhalak El, and Bouchaib Radi. Advanced Numerical Methods with Matlab 1: Function Approximation and System Resolution. Wiley & Sons, Incorporated, John, 2018.
Find full textHami, Abdelkhalak El, and Bouchaib Radi. Advanced Numerical Methods with Matlab 1: Function Approximation and System Resolution. Wiley & Sons, Incorporated, John, 2018.
Find full textLow Rank Approximation Algorithms Implementation Applications. Springer, 2011.
Find full textBook chapters on the topic "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.
Full textYlöstalo, 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.
Full textHu, 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.
Full textGe, 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.
Full textLi, 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.
Full textPeng, 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.
Full textDocampo, 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.
Full textDeb, 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.
Full textNguyen, 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.
Full textKushner, 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.
Full textConference papers on the topic "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.
Full textZhou, 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.
Full textAvargel, 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.
Full textNovikov, 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.
Full textJumanov, 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.
Full textLi, 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.
Full textMitkus, 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.
Full textSpanakis, 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.
Full textZhong, 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.
Full textRozada, 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.
Full textReports on the topic "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.
Full textSteffens, 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.
Full textYang, 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.
Full textDale, 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.
Full textMevarech, 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.
Full textTanny, 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.
Full textAlchanatis, 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.
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