"Predictive Modular Neural Networks: Applications to Time Series"

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Book	Author(s)	Year	Publisher
Predictive Modular Neural Networks: Applications to Time Series	Vassilios Petridis; Athanasios Kehagias	1998	Springer US
Artificial neural networks: forecasting time series /	Vemuri, V. Rao.; Rogers, Robert D.	[1994], ©1994.	IEEE Computer Society Press,
Fuzzy Neural Networks for Real Time Control Applications	Erdal Kayacan and Mojtaba Ahmadieh Khanesar	2016	Butterworth-Heinemann
Learning and Categorization in Modular Neural Networks	Jacob M.J. Murre	1992	Routledge
Modular learning in neural networks: a modularized approach to neural network classification	Tomas Hrycej	1992	Wiley
Applications of Neural Networks	Alan Murray	1995	Springer US
Neural Networks: Current Applications	P. G. J. Lisboa	May 1992	Chapman & Hall
Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation	Daniela Sanchez; Patricia Melin	1st ed. 2016	Springer International Publishing
Applications of neural networks to adaptive control	Russell W. Scott	1989	Naval Postgraduate School;Available from the National Technical Information Service
Neural Networks: Methodology and Applications	Gérard Dreyfus	2005	Springer Berlin Heidelberg
Neural Networks in Transport Applications	Veli Himanen; Peter Nijkamp; Aura Reggiani	2018	Routledge
Applications of Artificial Neural Networks	Hiral Ashil Patel	2020	Engineering Science Reference
Neural Networks: History and Applications	Doug Alexander	2020	Nova Science Publishers, Incorporated
Neural networks and their applications /	Taylor, J. G.	[1996], ©1996.	Wiley,
Industrial applications of neural networks /	Jain, L. C.; Vemuri, V. Rao.	[1999], ©1999.	CRC Press,
Neural networks: theory and applications	Richard J. Mammone	1991	Academic Press
Techniques and Applications of Neural Networks (Ellis Horwood Workshop Series)	P. G. J. Lisboa; P. J. G. Lisboa; M. J. Taylor	November 1993	Ellis Horwood Ltd
Learning and Generalisation: With Applications to Neural Networks	Mathukumalli Vidyasagar	2nd ed. 2003	Springer London
Process Neural Networks: Theory and Applications	Xingui He; Shaohua Xu	2010	Springer Berlin Heidelberg
Applications of Pulse-Coupled Neural Networks	Yide Ma; Kun Zhan; Zhaobin Wang	2011	Springer Berlin Heidelberg
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Time-Series Segmentation Using Predictive Modular Neural Networks			MIT Press	1997	MIT Press
Applications of Artificial Neural Networks to Time Series Prediction	Yuansong Liao; John Moody; Lizhong Wu	Handbook of Neural Network Signal Processing	Jose C. Principe; Yu Hen Hu; Richard C. Dorf; Alexander D. Poularikas; Ling Guan; Jenq-Neng Hwang; Scott C. Douglas; Shigeru Katagiri; Tulay Adali; Michael T. Manry; Klaus-Robert - Muller; Volker Tresp; Konstantinos I. Diamantaras; Jinshiuh Taur; Lizhong Wu; Paisarn Muneesawang; S.Y. Kung; Hau San Wong; Jose A. Lay; Yue Wang; Andrew Back; Shang Hung Lin; Yuangsong Liao; Hema Chandrasekaran; Cheng-Hsiung Hsieh; John Moody; Sebastian Mika; Gunnar Ratsch; Koji Tsuda; Bernhard Scholkopf	2002	Routledge
Modular Neural Networks	Anupam Shukla; Ritu Tiwari; Rahul Kala	Towards Hybrid and Adaptive Computing: A Perspective	Anupam Shukla; Ritu Tiwari; Rahul Kala	2010	Springer Berlin Heidelberg
Modular Neural Networks	Patricia Melin; Oscar Castillo	Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems	Patricia Melin; Oscar Castillo	2005	Springer Berlin Heidelberg
Modular Neural Networks	Raúl Rojas	Neural Networks: A Systematic Introduction	Raul Rojas	1996	Springer Berlin Heidelberg
Modular Neural Networks with Fuzzy Integration Applied to Time Series Prediction	Patricia Melin; Ileana Leal; Valente Ochoa; Luis Valenzuela; Gabriela Torres; Daniel Clemente	Applications of Soft Computing: Recent Trends	Ashutosh Tiwari; Joshua Knowles; Erel Avineri; Keshav Dahal; Rajkumar Roy	2006	Springer Berlin Heidelberg
Modular Neural Networks with Fuzzy Sugeno Integration Applied to Time Series Prediction	Patricia Melin; Valente Ochoa; Luis Valenzuela; Gabriela Torres; Daniel Clemente	Hybrid Intelligent Systems: Analysis and Design	Oscar Castillo; Patricia Melin; Witold Pedrycz	2007	Springer Berlin Heidelberg
Applications to Neural Networks	M. Vidyasagar	Learning and Generalisation: With Applications to Neural Networks	Mathukumalli Vidyasagar	2nd ed. 2003	Springer London
Applications to neural networks.		Ridge functions and applications in neural networks /	Ismailov, Vugar E.,		American Mathematical Society
Artificial Neural Networks Applications for Total Ozone Time Series	Beatriz Monge-Sanz; Nicolás Medrano-Marqués	Artificial Neural Nets. Problem Solving Methods: 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, Maó, Menorca, Spain, June 3-6. Proceedings, Part II	José Mira; José R. Alvarez	2003	Springer Berlin Heidelberg
Design Time Series Time-Delay Neural Networks		MATLAB Deep Learning Toolbox™ User's Guide	The MathWorks, Inc.	2020	The MathWorks, Inc.
Create Modular Neural Networks		Image Processing Toolbox™User's Guide	coll	2021	The MathWorks, Inc.
Modular Neural Network Applied to Non-Stationary Time Series	Héctor Allende; Rodrigo Salas; Romina Torres; Claudio Moraga	Computational Intelligence, Theory and Applications: International Conference 8th Fuzzy Days in Dortmund, Germany, Sept. 29-Oct. 01, 2004 Proceedings	Bernd Reusch	2005	Springer Berlin Heidelberg
Neural Networks for Time-Series Forecasting	G. Peter Zhang	Handbook of Natural Computing	Grzegorz Rozenberg; Thomas Bäck; Joost N. Kok	2012	Springer Berlin Heidelberg
Neural Networks for Time-Series Forecasting	William Remus; Marcus O’Connor	Principles of Forecasting: A Handbook for Researchers and Practitioners	J.S. Armstrong	2001	Springer US
Neural Networks for Time-Series Forecasting	Sandhya Samarasinghe	Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition	Sandhya Samarasinghe	2006	Routledge
Time Series and Recurrent Neural Networks		Zero to Deep Learning with Keras and Tensorflow	Mosconi F	2019	Catalit LLC
Convolutional Neural Networks for Time Series		Deep Learning for Time Series Forecasting - Predict the Future with MLPs, CNNs and LSTMs in Python	Jason Brownlee	2018
Recurrent Neural Networks for Time Series		Deep Learning for Time Series Forecasting - Predict the Future with MLPs, CNNs and LSTMs in Python	Jason Brownlee	2018
Time Series Modelling with Neural Networks	Michel Denuit; Donatien Hainaut; Julien Trufin	Effective Statistical Learning Methods for Actuaries III: Neural Networks and Extensions	Michel Denuit; Donatien Hainaut; Julien Trufin	1st ed. 2019	Springer International Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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