"Dynamic System Identification Using Recurrent Neural Networks"

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Book	Author(s)	Year	Publisher
Recurrent Neural Networks	Amit Kumar Tyagi; Ajith Abraham	2022	Routledge
Recurrent Neural Networks
Forecasting exchange rates using feedforward and recurrent neural networks	Chung-Ming Kuan	1993	University of Illinois at Urbana-Champaign
Forecasting exchange rates using feedforward and recurrent neural networks	Chung-Ming Kuan	1992	College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
Learning with Recurrent Neural Networks	Barbara Hammer	2000	Springer London
Convergence Analysis of Recurrent Neural Networks	Zhang Yi	2004	Springer US
Dynamic System Identification	Graham C. Goodwin; Robert L. Payne	1977	Elsevier
Photonic Reservoir Computing: Optical Recurrent Neural Networks	Daniel Brunner; Miguel C. Soriano; Guy Van der Sande	2019	De Gruyter
Supervised Sequence Labelling with Recurrent Neural Networks	Alex Graves	2012	Springer Berlin Heidelberg
Recurrent Neural Networks for Temporal Data Processing	Hubert Cardot and Romuald Boné	2011-02-09	BoD – Books on Demand
Recurrent Neural Networks: From Simple to Gated Architectures	Fathi M. Salem	1st ed. 2022	Springer International Publishing
Qualitative Analysis and Synthesis of Recurrent Neural Networks	Anthony Michel; Derong Liu	2001	Routledge
Qualitative analysis and synthesis of recurrent neural networks /	Michel, Anthony N.; Liu, Derong.	[2002], ©2002.	Marcel Dekker,
Text mining using neural networks	Waleed A. Zaghloul	2005	University of Nebraska-Lincoln
Financial prediction using neural networks	Joseph S. Zirilli	1996	International Thomson Computer Press
Neural Networks for Identification, Prediction and Control	Duc Truong Pham; Xing Liu	1995	Springer London
Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models	Oliver Nelles	2001	Springer Berlin Heidelberg
Nonlinear dynamic modeling with artificial neural networks	Jyh-Ming Kuo	1993
Recurrent Neural Networks for Prediction - Learning Algorithms, Architectures and Stability	Danilo P. Mandic	2001	John Wiley & Sons
Medical diagnosis using artificial neural networks	Sara Moein	2014	Medical Information Science Reference, an imprint of IGI Global
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Showing 1 to 20 of 100 entries

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Dynamic System Identification Using Recurrent Neural Networks	Duc Truong Pham; Xing Liu	Neural Networks for Identification, Prediction and Control	Duc Truong Pham; Xing Liu	1995	Springer London
Dynamic System Identification Using Feedforward Neural Networks	Duc Truong Pham; Xing Liu	Neural Networks for Identification, Prediction and Control	Duc Truong Pham; Xing Liu	1995	Springer London
SYSTEM IDENTIFICATION USING NEURAL NETWORKS	K. Endo; Y. Ishida	Algorithms and Architectures for Real-Time Control 1992	P. J. Fleming and W. H. Kwon	1993	Pergamon
NONLINEAR SYSTEM IDENTIFICATION USING ADDITIVE DYNAMIC NEURAL NETWORKS	R. GRIÑó	Intelligent Components and Instruments for Control Applications 1994	C. Banyasz	1994	Pergamon
System Identification with Dynamic Neural networks	Jose C. Principe; Mark A. Motter	World Congress On Neural Networks-San Diego: 1994 International Neural Network Society Annual Meeting	Paul Werbos; Harold Szu; Bernard Widrow	1994	Routledge
Using Recurrent Neural Networks		Deep Learning: A Visual Approach	Andrew Glassner	2021	No Starch Press
Nonlinear system identification using neural networks	Johan A. K. Suykens; Joos P. L. Vandewalle; Bart L. R. De Moor	Artificial Neural Networks for Modelling and Control of Non-Linear Systems	Johan A.K. Suykens; Joos P.L. Vandewalle; B.L. de Moor	1996	Springer US
Robust System Identification Using Neural Networks		Knowledge-Based Intelligent Information and Engineering Systems: 8th International Conference, Kes 2004, Wellington, New Zealand, September 20-25, 2004, Proceedings, Part I	Howlett R.J. (ed.), Jain L.C. (ed.)	2004	Springer
Language Identification Using Deep Convolutional Recurrent Neural Networks	Christian Bartz; Tom Herold; Haojin Yang; Christoph Meinel	Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14–18, 2017, Proceedings, Part VI	Derong Liu; Shengli Xie; Yuanqing Li; Dongbin Zhao; El-Sayed M. El-Alfy	1st ed. 2017	Springer International Publishing
System Identification Using Discrete-Time Neural Networks	Jagannathan Sarangapani	Neural Network Control of Nonlinear Discrete-Time Systems	Jagannathan Sarangapani	2006	Routledge
Identification of a Cylindrical Robot Using Recurrent Neural Networks	Carlos Román Mariaca Gaspar; Juan Eduardo Velázquez-Velázquez; Julio César Tovar Rodríguez	Multibody Mechatronic Systems: Proceedings of the MUSME Conference held in Huatulco, Mexico, October 21-24, 2014	Marco Ceccarelli; Eusebio Eduardo Hernández Martinez	2015	Springer International Publishing
Text Language Identification Using Attention-Based Recurrent Neural Networks	Michał Perełkiewicz; Rafał Poświata	Artificial Intelligence and Soft Computing: 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings, Part I	Leszek Rutkowski; Rafał Scherer; Marcin Korytkowski; Witold Pedrycz; Ryszard Tadeusiewicz; Jacek M. Zurada	1st ed. 2019	Springer International Publishing
3. Identification of linear systems using recurrent neural networks	D. T. Pham and X. Liu	Application of neural networks to modelling and control /	Page, G. F.; Gomm, J. B.; Williams, D.	1993.	Chapman & Hall,
Modeling a Refrigeration System Using Recurrent Neural Networks	Ressom Habtom	Computational Intelligence: Theory and Applications: International Conference, 6th Fuzzy Days, Dortmund, Germany, May 25-28, 1999, Proceedings	Bernd Reusch	1999	Springer Berlin Heidelberg
Nonlinear System Approximation Using Dynamic Neural Networks	Freddy Garces; Victor M. Becerra; Chandrasekhar Kambhampati; Kevin Warwick	Strategies for Feedback Linearisation: A Dynamic Neural Network Approach	Freddy Rafael Garces; Victor Manuel Becerra; Chandrasekhar Kambhampati; Kevin Warwick	2003	Springer London
Recurrent Neural Networks	Sajid A. Marhon; Christopher J. F. Cameron; Stefan C. Kremer	Handbook on Neural Information Processing	Monica Bianchini; Marco Maggini; Lakhmi C. Jain	2013	Springer Berlin Heidelberg
Recurrent Neural Networks	Nikhil Ketkar	Deep Learning with Python: A Hands-on Introduction	Nikhil Ketkar	1st ed.	Apress
Recurrent Neural Networks	Shriram K. Vasudevan; Sini Raj Pulari; Subashri Vasudevan	Deep Learning: A Comprehensive Guide	Shriram K Vasudevan; Sini Raj Pulari; Subashri Vasudevan	2021	Routledge
Recurrent Neural Networks	Ke-Lin Du; M. N. S. Swamy	Neural Networks and Statistical Learning	Ke-Lin Du; M. N. S. Swamy	2014	Springer London
Recurrent neural networks	Hava T. Siegelmann	Computer Science Today: Recent Trends and Developments	Jan Leeuwen	1995	Springer Berlin Heidelberg
Chapter	Author(s)	Book	Book Authors	Year	Publisher

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