"Optimal Control in Learning Neural Network"

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Book	Author(s)	Year	Publisher
Neural network applications in control	Irwin, G. W.; Warwick, K.; Hunt, K. J	1995	Institution of Electrical Engineers
Stable Adaptive Neural Network Control	S.S. Ge; C.C. Hang; T.H. Lee; Tao Zhang	2002	Springer US
Neural Network Learning: Theoretical Foundations	Martin Anthony; Peter L. Bartlett	1999-11	Cambridge University Press
Neural Network Engineering in Dynamic Control Systems	Kenneth J. Hunt; George R. Irwin; Kevin Warwick	1995	Springer London
Neural Approximations for Optimal Control and Decision	Riccardo Zoppoli; Marcello Sanguineti; Giorgio Gnecco; Thomas Parisini	1st ed. 2020	Springer International Publishing
Neural Network Learning and Expert Systems	Stephen I. Gallant	1993	MIT Press
Neural Network Learning and Expert Systems	Stephen I. Gallant	1993	MIT Press,
Neural network learning and expert systems	Stephen I. Gallant	1993	MIT Press
Reinforcement learning and optimal control /	Bertsekas, Dimitri P.,		Athena Scientific
Modular learning in neural networks: a modularized approach to neural network classification	Tomas Hrycej	1992	Wiley
Explanation-Based Neural Network Learning: A Lifelong Learning Approach	Sebastian Thrun	1996	Springer US
Optimal control of a two-station Brownian network	Lawrence M. Wein	1988	Sloan School of Management, Massachusetts Institute of Technology
Nonlinear Identification and Control: A Neural Network Approach	G.P. Liu	2001	Springer London
Neural Network Control of Nonlinear Discrete-Time Systems	Jagannathan Sarangapani	2006	Routledge
Neural Network Design and the Complexity of Learning	J. Stephen Judd	1990	MIT Press
Neural Network Design and the Complexity of Learning	J. Stephen Judd	1990	MIT Press,
Animal learning and cognition: a neural network approach /	Schmajuk, Nestor A.	1997.	Cambridge University Press,
Reinforcement learning and Optimal Control - Draft version	Dmitri Bertsekas	2019	Athena Scientific
Evolutionary Learning Algorithms for Neural Adaptive Control	Dimitris C. Dracopoulos	1997	Springer London
Neural network principles /	Harvey, Robert L.	1994.	Prentice Hall,
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Optimal Control in Learning Neural Network	Marta Lipnicka; Andrzej Nowakowski	Modelling, Computation and Optimization in Information Systems and Management Sciences: Proceedings of the 4th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2021	Hoai An Le Thi; Tao Pham Dinh; Hoai Minh Le	1st ed. 2022	Springer International Publishing
OPTIMAL NEURAL NETWORK CONTROL	Y. Li; A.K.C. Wong; F. Yang	Information Control Problems in Manufacturing Technology 1992	M. B. Zaremba	1993	Pergamon
VLSI Optimal Neural Network Learning Algorithm	Valeriu Beiu; John G. Taylor	Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Alès, France, 1995	David W. Pearson; Nigel C. Steele; Rudolf F. Albrecht	1995	Springer Vienna
Neural Optimal Control	Edgar N. Sanchez	Discrete-Time Recurrent Neural Control: Analysis and Applications	Edgar N. Sanchez	2018	Routledge
Neural Network Control		Encyclopedia of Ocean Engineering	Weicheng Cui; Shixiao Fu; Zhiqiang Hu	1st ed. 2022	Springer Nature Singapore
Neural Inverse Optimal Control	Sanchez Edgar N.; Vega Carlos J.; Suarez Oscar J.; Guanrong Chen	Nonlinear Pinning Control of Complex Dynamical Networks: Analysis and Applications	Edgar N. Sanchez; Carlos J. Vega; Oscar J. Suarez; Guanrong Chen	2021	Routledge
Neural Inverse Optimal Control	Edgar N. Sanchez; Fernando Ornelas-Tellez	Discrete-Time Inverse Optimal Control for Nonlinear Systems	Edgar N. Sanchez; Fernando Ornelas-Tellez	2013	Routledge
Reliability in Neural Network Learning	Wolfram Büttner	Artificial Neural Networks, 1992	I. Aleksander and J. Taylor	1992	North-Holland
Neural Network Learning Algorithms	Terrence J. Sejnowski	Neural Computers	Rolf Eckmiller; Christoph v.d. Malsburg	1989	Springer Berlin Heidelberg
Evolutionary Neural Network Learning	Miguel Rocha; Paulo Cortez; José Neves	Progress in Artificial Intelligence: 11th Protuguese Conference on Artificial Intelligence, EPIA 2003, Beja, Portugal, December 4-7, 2003, Proceedings	Fernando Moura Pires; Salvador Abreu	2003	Springer Berlin Heidelberg
Efficient neural network learning	Peter L. Bartlett	Open Problems in Mathematical Systems and Control Theory	Vincent D. Blondel; Eduardo D. Sontag; Mathukumalli Vidyasagar; Jan C. Willems	1999	Springer London
NEURAL NETWORK & REINFORCEMENT LEARNING		Machine Learning Proceedings 1990	Bruce W. Porter and Ray J. Mooney	1990	Morgan Kaufmann
Neural Network Learning Strategy		Computer-Aided Design, Engineering, and Manufacturing: Systems Techniques and Applications, Volume VII, Artificial Inte	Cornelius Leondes, Cornelius T. Leondes	2000	CRC Press
23 Neural Network Learning		Advanced nondestructive evaluation II: proceedings of the International Conference on ANDE 2007, the 2nd International Conference on Advanced Nondestructive Testing	Seung-seok Lee, Joon Hyun Lee, Ik-keun Park, Sung-jin Song, Man-Yong Choi	2008	World Scientific
Learning neural network weights		Hands-On Java Deep Learning for Computer Vision - Implement machine learning and neural network methodologies to perform computer vision-related tasks.	Klevis Ramo	2019	Packt
Discrete Neural Network Control	Jinkun Liu	Radial Basis Function (RBF) Neural Network Control for Mechanical Systems: Design, Analysis and Matlab Simulation	Jinkun Liu	2013	Springer Berlin Heidelberg
Neural Network Robot Control	F.L. Lewis; S. Jagannathan; A. Yeşildirek	Neural Network Control of Robot Manipulators and Nonlinear Systems	F W Lewis; S. Jagannathan; A Yesildirak	1999	Routledge
Neural Network-Based Control	Thrishantha Nanayakkara; Ferat Sahin; Mo Jamshidi	Intelligent Control Systems with an Introduction to System of Systems Engineering	Thrishantha Nanayakkara; Ferat Sahin; Mo Jamshidi	2010	Routledge
Neural Network-Based Control	Mehmet Önder Efe	Intelligent Systems: The Industrial Electronics Handbook	Bogdan M. Wilamowski; J. David Irwin	2011	Routledge
Discrete Neural Network Control		Radial Basis Function (RBF) Neural Network Control for Mechanical Systems: Design, Analysis and Matlab Simulation	Jinkun Liu	2013	Springer Berlin Heidelberg;Imprint: Springer
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