"Research and Application of Dynamic Neural Network Based on Reinforcement Learning"

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Book	Author(s)	Year	Publisher
Explanation-Based Neural Network Learning: A Lifelong Learning Approach	Sebastian Thrun	1996	Springer US
From Shortest Paths to Reinforcement Learning: A MATLAB-Based Tutorial on Dynamic Programming	Paolo Brandimarte	1st ed. 2021	Springer International Publishing
Fuzzy neural network theory and application /	Liu, Puyin.; Li, Hong-Xing,	[2004], ©2004.	World Scientific,
Learning from Dynamic Visualization: Innovations in Research and Application	Richard Lowe; Rolf Ploetzner	1st ed. 2017	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 Dynamic Programming Using Function Approximators	Lucian Busoniu; Robert Babuska; Bart De Schutter; Damien Ernst	2010	Routledge
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 network-based state estimation of nonlinear systems: application to fault detection and isolation	H. A. Talebi	2010	Springer
Neural Network-Based State Estimation of Nonlinear Systems: Application to Fault Detection and Isolation	Heidar A. Talebi; Farzaneh Abdollahi; Rajni V. Patel; Khashayar Khorasani	2010	Springer New York
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,
Reinforcement Learning and Approximate Dynamic Programming for Feedback Control	Frank L. Lewis; Derong Liu	2013	Wiley-IEEE Press
Deep Reinforcement Learning: Fundamentals, Research and Applications	Hao Dong; Zihan Ding; Shanghang Zhang	1st ed. 2020	Springer Nature Singapore
Advances in Neural Network Research and Applications	Zhigang Zeng; Jun Wang	2010	Springer Berlin Heidelberg
Learning and Reinforcement	Stephen F. Walker	1975	Methuen
Animal learning and cognition: a neural network approach /	Schmajuk, Nestor A.	1997.	Cambridge University Press,
Hands-on Reinforcement Learning with Python. Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow	Sudharsan Ravichandiran	2018	Packt
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Research and Application of Dynamic Neural Network Based on Reinforcement Learning	Anil Kumar Yadav; Ajay Kumar Sachan	Proceedings of the International Conference on Information Systems Design and Intelligent Applications 2012 (India 2012) held in Visakhapatnam, India, January 2012	Suresh Chandra Satapathy; P S Avadhani; Ajith Abraham	2012	Springer Berlin Heidelberg
NEURAL NETWORK & REINFORCEMENT LEARNING		Machine Learning Proceedings 1990	Bruce W. Porter and Ray J. Mooney	1990	Morgan Kaufmann
""Neural network and reinforcement learning""		Practical Reinforcement Learning	Farrukh Akhtar	2017	Packt Publishing
A Novel Neural Network Based Reinforcement Learning	Jian Fan; Yang Song; MinRui Fei; Qijie Zhao	Bio-Inspired Computational Intelligence and Applications: International Conference on Life System Modeling, and Simulation, LSMS 2007, Shanghai, China, September 14-17, 2007. Proceedings	Minrui Fei; George W. Irwin; Shiwei Ma	2007	Springer Berlin Heidelberg
Research on Deep Learning Algorithm and Application Based on Convolutional Neural Network	Mei Guo; Min Xiao; Fang Yu	Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology: Methods and Algorithms, Proceedings of IC3DIT 2019, Volume 1	Roumen Kountchev; Srikanta Patnaik; Junsheng Shi; Margarita N. Favorskaya	1st ed. 2020	Springer Nature Singapore
A Hybrid Neural Network Model Based Reinforcement Learning Agent	Pengyi Gao; Chuanbo Chen; Kui Zhang; Yingsong Hu; Dan Li	Advances in Neural Networks -- ISNN 2010: 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part I	James Kwok; Bao-Liang Lu; Liqing Zhang; Bao-Liang Lu	2010	Springer Berlin Heidelberg
TEM Research Based on Bayesian Network and Neural Network	Fu-li Bai; Hai-feng Cao; Tong Li	Knowledge Engineering and Management: Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE 2011)	Yinglin Wang; Tianrui Li	2012	Springer Berlin Heidelberg
Reinforcement Learning and Attractor Neural Network Models of Associative Learning	Oussama H. Hamid; Jochen Braun	Computational Intelligence: 9th International Joint Conference, IJCCI 2017 Funchal-Madeira, Portugal, November 1-3, 2017 Revised Selected Papers	Christophe Sabourin; Juan Julian Merelo; Kurosh Madani; Kevin Warwick	1st ed. 2019	Springer International Publishing
Application of Dynamic Management of 5G Network Slice Resource Based on Reinforcement Learning in Smart Grid	Guanghuai Zhao; Mingshi Wen; Jiakai Hao; Tianxiang Hai	The 10th International Conference on Computer Engineering and Networks	Qi Liu; Xiaodong Liu; Tao Shen; Xuesong Qiu	1st ed. 2021	Springer Nature Singapore
Research on Robot Control Based on Reinforcement Learning	Gang Liu	Cyber Security Intelligence and Analytics	Zheng Xu; Kim-Kwang Raymond Choo; Ali Dehghantanha; Reza Parizi; Mohammad Hammoudeh	1st ed. 2020	Springer International Publishing
Research on Accuracy of Flower Recognition Application Based on Convolutional Neural Network	Jing-Hua Han; Chen Jin; Li-Sha Wu	Advances in Artificial Intelligence, Software and Systems Engineering: Proceedings of the AHFE 2019 International Conference on Human Factors in Artificial Intelligence and Social Computing, the AHFE International Conference on Human Factors, Software, Service and Systems Engineering, and the AHFE International Conference of Human Factors in Energy, July 24-28, 2019, Washington D. C. , USA	Tareq Ahram	1st ed. 2020	Springer International Publishing
Application Research on Fault Diagnosis Based on Improved Wavelet Neural Network		Polymer Composites and Polymer Testing	Edited by Hongkui Mao Deepak Aggarwal Lee Menghai Liu Hongfei Zhao Maotai	2012	Trans Tech
Neural-Network-Based Feature Learning: Convolutional Neural Network	Haitao Zhao; Zhihui Lai; Henry Leung; Xianyi Zhang	Feature Learning and Understanding: Algorithms and Applications	Haitao Zhao; Zhihui Lai; Henry Leung; Xianyi Zhang	1st ed. 2020	Springer International Publishing
Neural-Network-Based Feature Learning: Recurrent Neural Network	Haitao Zhao; Zhihui Lai; Henry Leung; Xianyi Zhang	Feature Learning and Understanding: Algorithms and Applications	Haitao Zhao; Zhihui Lai; Henry Leung; Xianyi Zhang	1st ed. 2020	Springer International Publishing
Research on System Architecture Based on Deep Learning Convolutional Neural Network	Caijuan Chen; Ying Tong	Artificial Intelligence in China: Proceedings of the International Conference on Artificial Intelligence in China	Qilian Liang; Wei Wang; Jiasong Mu; Xin Liu; Zhenyu Na; Bingcai Chen	1st ed. 2020	Springer Nature Singapore
The Research of Negative Correlation Learning Based on Artificial Neural Network	Yi Ding; Xufu Peng; Xian Fu	Advances in Neural Networks - ISNN 2009: 6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part I	Wen Yu; Haibo He; Nian Zhang	2009	Springer Berlin Heidelberg
12 Dynamic Analysis of Memristor-based Neural Network and its Application		Neuromorphic Circuits for Nanoscale Devices	Pinaki Mazumder; Yalcin Yilmaz; Idongesit Ebong; Woo Hyung Lee	2018	River Publishers
Reinforcement Learning Based Neural Controllers for Dynamic Processes without Exploration	Frank-Florian Steege; André Hartmann; Erik Schaffernicht; Horst-Michael Gross	Artificial Neural Networks - ICANN 2010: 20th International Conference, Thessaloniki, Greece, Septmeber 15-18, 2020, Proceedings, Part II	Konstantinos Diamantaras; Wlodek Duch; Lazaros S. Iliadis	2010	Springer Berlin Heidelberg
Research on Normalized Network Information Storage Method Based on Deep Reinforcement Learning	Qiang Wang; Lai-feng Tang	Multimedia Technology and Enhanced Learning: Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8–9, 2021, Proceedings, Part I	Weina Fu; Yuan Xu; Shui-Hua Wang; Yudong Zhang	1st ed. 2021	Springer International Publishing
Explanation-Based Neural Network Learning	Sebastian Thrun	Explanation-Based Neural Network Learning: A Lifelong Learning Approach	Sebastian Thrun	1996	Springer US
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