"Parallel Implementations of Recurrent Neural Network Learning"

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Book	Author(s)	Year	Publisher
Neural Network Parallel Computing	Yoshiyasu Takefuji	1992	Springer US
Learning with Recurrent Neural Networks	Barbara Hammer	2000	Springer London
Parallel architectures for artificial neural networks: paradigms and implementations /	Sundararajan, N.; Saratchandran, P.	1998.	IEEE Computer Society,
Recurrent Neural Networks	Amit Kumar Tyagi; Ajith Abraham	2022	Routledge
Recurrent Neural Networks
Neural Network Learning: Theoretical Foundations	Martin Anthony; Peter L. Bartlett	1999-11	Cambridge University Press
FPGA Implementations of Neural Networks	Amos R. Omondi; Jagath C. Rajapakse	2006	Springer US
Learning in a partially hard-wired recurrent network	C. -M Kuan	1991	College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
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
Convergence Analysis of Recurrent Neural Networks	Zhang Yi	2004	Springer US
Recurrent Neural Networks for Prediction - Learning Algorithms, Architectures and Stability	Danilo P. Mandic	2001	John Wiley & Sons
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,
Parallel implementations of backpropagation neural networks on transputers: a study of training set parallelism /	Saratchandran, P.; Sundararajan, N.; Foo, Shou King.	[1996], ©1996.	World Scientific,
Explanation-Based Neural Network Learning: A Lifelong Learning Approach	Sebastian Thrun	1996	Springer US
Animal learning and cognition: a neural network approach /	Schmajuk, Nestor A.	1997.	Cambridge University Press,
Modular learning in neural networks: a modularized approach to neural network classification	Tomas Hrycej	1992	Wiley
Neural network principles /	Harvey, Robert L.	1994.	Prentice Hall,
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Parallel Implementations of Recurrent Neural Network Learning	Uroš Lotrič; Andrej Dobnikar	Adaptive and Natural Computing Algorithms: 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers	Ville Kolehmainen; Pekka Toivanen; Bartlomiej Beliczynski	2009	Springer Berlin Heidelberg
Parallel Realisation of the Recurrent Elman Neural Network Learning	Jarosław Bilski; Jacek Smola̧g	Artificial Intelligence and Soft Computing, Part II: 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part II Proceedings	Leszek Rutkowski; Rafał Scherer; Ryszard Tadeusiewicz; Lotfi A. Zadeh; Jacek M. Zurada	2010	Springer Berlin Heidelberg
Parallel Realisation of the Recurrent RTRN Neural Network Learning	Jarosław Bilski; Jacek Smola̧g	Artificial Intelligence and Soft Computing – ICAISC 2008: 9th International Conference Zakopane, Poland, June 22-26, 2008, Proceedings	Leszek Rutkowski; Ryszard Tadeusiewicz; Lofti A. Zadeh; Jacek M. Zurada	2008	Springer Berlin Heidelberg
Neural Network Circuits and Parallel Implementations	Ke-Lin Du; M. N. S. Swamy	Neural Networks and Statistical Learning	Ke-Lin Du; M. N. S. Swamy	2nd ed. 2019	Springer London
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
Neural network implementations	Russell C. Eberhart; Yuhui Shi	Computational Intelligence	Russell C. Eberhart and Yuhui Shi	2007	Morgan Kaufmann
Neural Network Implementations		2D Object Detection and Recognition: Models, Algorithms, and Networks	Yali Amit	2002	MIT Press
Parallel Approach to Learning of the Recurrent Jordan Neural Network	Jarosław Bilski; Jacek Smoląg	Artificial Intelligence and Soft Computing: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part I	Leszek Rutkowski; Marcin Korytkowski; Rafal Scherer; Ryszard Tadeusiewicz; Lotfi A. Zadeh; Jacek M. Zurada	2013	Springer Berlin Heidelberg
Recurrent Neural Network		Encyclopedia of Computational Neuroscience	Dieter Jaeger; Ranu Jung	2015	Springer New York
Recurrent Neural Network	Zhong-Yuan Zhang	Encyclopedia of Systems Biology	Werner Dubitzky; Olaf Wolkenhauer; Hiroki Yokota; Kwang-Hyun Cho	2013	Springer New York
Recurrent Neural Network	Hideki Nakayama	Computer Vision: A Reference Guide	Katsushi Ikeuchi	2nd ed. 2021	Springer International Publishing
Recurrent Neural Network	Liangqu Long; Xiangming Zeng	Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks	Liangqu Long; Xiangming Zeng	1st ed.	Apress
Recurrent Neural Network		Encyclopedia of Computational Neuroscience	Dieter Jäger; Ranu Jung	2nd ed. 2022	Springer New York
Recurrent Neural Network		Deep Learning and Its Applications	Arvind Kumar Tiwari	2021	Nova Science Publishers
Recurrent Neural Network		Machine Learning for Financial Risk Management with Python: Algorithms for Modeling Risk	Abdullah Karasan	2022	O'Reilly Media
Recurrent Neural Network		The Hundred-Page Machine Learning Book	Andriy Burkov	2019	Andriy Burkov
Recurrent neural network		Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods	Ben Auffarth	2021	Packt Publishing - ebooks Account
Recurrent Neural Network		Computer architecture: a quantitative approach	Hennessy, John L.; Patterson, David A	2017;2019	Morgan Kaufmann Publishers; Elsevier : MK
Recurrent Neural Network		Neural Networks with R.	Ciaburro, Giuseppe.	2017.	Packt Publishing,
Recurrent Neural Network	G. R. Kanagachidambaresan; Adarsha Ruwali; Debrup Banerjee; Kolla Bhanu Prakash	Programming with TensorFlow: Solution for Edge Computing Applications	Kolla Bhanu Prakash; G. R. Kanagachidambaresan	1st ed. 2021	Springer International Publishing
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