"Recurrent Neural Networks for Prediction - Learning Algorithms, Architectures and Stability"

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Book	Author(s)	Year	Publisher
Recurrent Neural Networks for Prediction - Learning Algorithms, Architectures and Stability	Danilo P. Mandic	2001	John Wiley & Sons
Learning with Recurrent Neural Networks	Barbara Hammer	2000	Springer London
Recurrent Neural Networks: From Simple to Gated Architectures	Fathi M. Salem	1st ed. 2022	Springer International Publishing
Recurrent Neural Networks	Amit Kumar Tyagi; Ajith Abraham	2022	Routledge
Recurrent Neural Networks
Fundamentals of Neural Networks: Architectures, Algorithms and Applications	Laurene V. Fausett	1993	Pearson
Recurrent Neural Networks for Temporal Data Processing	Hubert Cardot and Romuald Boné	2011-02-09	BoD – Books on Demand
Neural Networks for Identification, Prediction and Control	Duc Truong Pham; Xing Liu	1995	Springer London
Convergence Analysis of Recurrent Neural Networks	Zhang Yi	2004	Springer US
Artificial Neural Networks: Learning Algorithms, Performance Evaluation, and Applications	Nicolaos Karayiannis; Anastasios N. Venetsanopoulos	1993	Springer US
Machine learning: neural networks, genetic algorithms, and fuzzy systems /	Adeli, Hojjat,; Hung, Shih-Lin,	[1995], ©1995.	Wiley,
Financial prediction using neural networks	Joseph S. Zirilli	1996	International Thomson Computer Press
Embedded Deep Learning: Algorithms, Architectures and Circuits for Always-on Neural Network Processing	Bert Moons; Daniel Bankman; Marian Verhelst	1st ed. 2019	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,
Bayesian Learning for Neural Networks	Radford M. Neal	1996	Springer New York
Neural, novel & hybrid algorithms for time series prediction /	Masters, Timothy.	[1995], ©1995.	John Wiley & Sons,
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
Stability Analysis of Neural Networks	Grienggrai Rajchakit; Praveen Agarwal; Sriraman Ramalingam	1st ed. 2021	Springer Nature Singapore
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Recurrent neural networks architectures		Deep Learning By Example: A hands-on guide to implementing advanced machine learning algorithms and neural networks	Ahmed Menshawy	2018	Packt Publishing
Recurrent Neural Networks Architectures		Recurrent Neural Networks for Prediction - Learning Algorithms, Architectures and Stability	Danilo P. Mandic	2001	John Wiley & Sons
Learning Algorithms for Neural Networks	Eduard Aved’yan	Learning Systems	Eduard Aved'yan; J. Mason; P.C. Parks	1995	Springer London
Recurrent Neural Networks for Local Model Prediction	Aymen Cherif; Romuald Boné	Advances in Cognitive Neurodynamics (II): Proceedings of the Second International Conference on Cognitive Neurodynamics - 2009	Rubin Wang; Fanji Gu	2011	Springer Netherlands
V RECURRENT NEURAL NETWORKS AND SECOND-ORDER LEARNING ALGORITHMS		Recurrent Neural Networks
V RECURRENT NEURAL NETWORKS AND SECOND-ORDER LEARNING ALGORITHMS		Recurrent Neural Networks: Design and Applications (International Series on Computational Intelligence)	Larry Medsker, Lakhmi C. Jain	1999	CRC Press
Algorithms and Implementation Architectures for Hebbian Neural Networks	J. Andrés Berzal; Pedro J. Zufiria	Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence: 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part I	José Mira; Alberto Prieto	2001	Springer Berlin Heidelberg
Neural networks and machine learning architectures		Modern Computer Architecture and Organization: Learn x86, ARM, and RISC-V architectures and the design of smartphones, PCs, and cloud servers	Jim Ledin	2022	Packt Publishing
Neural networks and machine learning architectures		Modern Computer Architecture and Organization	Jim Ledin	2020	Packt Publishing Pvt. Ltd.
Learning Algorithms for Process Neural Networks		Process Neural Networks: Theory and Applications	Xingui He; Shaohua Xu	2010	Springer Berlin Heidelberg
Fast Learning Algorithms for Neural Networks	N. B. Karayiannis; A. N. Venetsanopoulos	Artificial Neural Networks: Learning Algorithms, Performance Evaluation, and Applications	Nicolaos Karayiannis; Anastasios N. Venetsanopoulos	1993	Springer US
FAST LEARNING ALGORITHMS FOR NEURAL NETWORKS	Nicolaos B. KARAYIANNIS; Anastasios N. VENETSANOPOULOS	Artificial Neural Networks, 1991	K. Mäkisara; O. Simula; J. Kangas; T. Kohonen	1991	North-Holland
Adaptive recurrent neural networks and dynamic stability	B. Schürmann; J. Hollatz; U. Ramacher	Statistical Mechanics of Neural Networks: Proceedings of the XIth Sitges Conference Sitges, Barcelona, Spain, 3–7 June 1990	Luis Garrido	1990	Springer Berlin Heidelberg
Neural Architectures and Algorithms	Alan Murray	Applications of Neural Networks	Alan Murray	1995	Springer US
Recurrent Neural Networks for Online Video Popularity Prediction	Tomasz Trzciński; Paweł Andruszkiewicz; Tomasz Bocheński; Przemysław Rokita	Foundations of Intelligent Systems: 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings	Marzena Kryszkiewicz; Annalisa Appice; Dominik Ślęzak; Henryk Rybinski; Andrzej Skowron; Zbigniew W. Raś	1st ed. 2017	Springer International Publishing
Boosting Recurrent Neural Networks for Time Series Prediction	R. Boné; M. Assaad; M. Crucianu	Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Roanne, France, 2003	David W. Pearson; Nigel C. Steele; Rudolf Albrecht	2003	Springer Vienna
64 Recurrent Neural Networks for Time Series Prediction		Advances in Computational Intelligence: Theory And Applications	Fei-Yue Wang, Derong Liu	2006	World Scientific Publishing Company
LSTM Recurrent Neural Networks for Influenza Trends Prediction	Liyuan Liu; Meng Han; Yiyun Zhou; Yan Wang	Bioinformatics Research and Applications: 14th International Symposium, ISBRA 2018, Beijing, China, June 8-11, 2018, Proceedings	Fa Zhang; Zhipeng Cai; Pavel Skums; Shihua Zhang	1st ed. 2018	Springer International Publishing
Folded Recurrent Neural Networks for Future Video Prediction	Marc Oliu; Javier Selva; Sergio Escalera	Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part XIV	Vittorio Ferrari; Martial Hebert; Cristian Sminchisescu; Yair Weiss	1st ed. 2018	Springer International Publishing
Exploiting Recurrent Neural Networks for Gate Traffic Prediction	Fabio Fumarola; Pasqua Fabiana Lanotte	Traffic Mining Applied to Police Activities: Proceedings of the 1st Italian Conference for the Traffic Police (TRAP- 2017)	Fabio Leuzzi; Stefano Ferilli	1st ed. 2018	Springer International Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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