"Learning and Categorization in Modular Neural Networks"

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Book	Author(s)	Year	Publisher
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
Neural Networks and Statistical Learning	Ke-Lin Du; M. N. S. Swamy	2014	Springer London
Neural Networks and Statistical Learning	Ke-Lin Du; M. N. S. Swamy	2nd ed. 2019	Springer London
Neural networks and learning machines	Haykin, Simon	2008;2009	Pearson Education
Neural Networks and Learning Machines	Simon O. Haykin	2008	Prentice Hall
Neural Networks and Learning Machines	Simon S. Haykin	2009	Prentice Hall
On-Line Learning in Neural Networks	David Saad	2009	Cambridge University Press
On-Line Learning in Neural Networks	David Saad	1999-01	Cambridge University Press
Delay learning in artificial neural networks	Catherine E. Myers	1992	Chapman & Hall
Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks	Russell Reed; Robert J Marks	1999	MIT Press,
Neural smithing: supervised learning in feedforward artificial neural networks /	Reed, Russell D.; Marks, Robert J.,	[1999], ©1999.	The MIT Press,
Neural smithing: supervised learning in feedforward artificial neural networks	Russell D. Reed	1999	The MIT Press
Neural Networks and Its Learning Techniques		2014	Association of Scientists, Developers and Faculties
Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation	Daniela Sanchez; Patricia Melin	1st ed. 2016	Springer International Publishing
Predictive Modular Neural Networks: Applications to Time Series	Vassilios Petridis; Athanasios Kehagias	1998	Springer US
Bayesian Learning for Neural Networks	Radford M. Neal	1996	Springer New York
Learning with Recurrent Neural Networks	Barbara Hammer	2000	Springer London
Subspace Learning of Neural Networks	Jian Cheng Lv; Zhang Yi; Jiliu Zhou	2011	Routledge
Subspace learning of neural networks	Jian Cheng Lv	2011	CRC Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
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
Sequential Bayesian Learning for Modular Neural Networks	Pan Wang; Zhun Fan; Youfeng Li; Shan Feng	Advances in Neural Networks - ISNN 2005: Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part I	Jun Wang; Xiaofeng Liao; Zhang Yi	2005	Springer Berlin Heidelberg
Deep and Modular Neural Networks	Ke Chen	Springer Handbook of Computational Intelligence	Janusz Kacprzyk; Witold Pedrycz	2015	Springer Berlin Heidelberg
Create Modular Neural Networks		Image Processing Toolbox™User's Guide	coll	2021	The MathWorks, Inc.
Learning in neural networks	J. Bernasconi	Dynamics and Stochastic Processes: Theory and Applications. Proceedings of a Workshop Held in Lisbon, Portugal October 24–29, 1988	Ricardo Lima; Ludwig Streit; Rui Vilela Mendes	1990	Springer Berlin Heidelberg
Learning in neural networks		Neural Networks with R.	Ciaburro, Giuseppe.	2017.	Packt Publishing,
Learning in Neural Networks		AI: its nature and future /	Boden, Margaret A.,		Oxford University Press
Modular Neural Networks for Model-Free Behavioral Learning	Johane Takeuchi; Osamu Shouno; Hiroshi Tsujino	Artificial Neural Networks - ICANN 2008: 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings Part I	Vera Kurkova-Pohlova; Jan Koutnik; Roman Neruda	2008	Springer Berlin Heidelberg
Modular Version of Neural Networks for Deep Learning	William B. Claster	Mathematics and Programming for Machine Learning with R: From the Ground Up	William B. Claster	2020	Routledge
Neural Networks Learning	Bogdan M. Wilamowski	Intelligent Systems: The Industrial Electronics Handbook	Bogdan M. Wilamowski; J. David Irwin	2011	Routledge
Learning neural networks		Natural Language Processing	Jacob Eisenstein	2018	MIT Press, and are posted here under the Creative Commons license CC-BY-NC-ND
Advanced Neural Network Architectures/Modular Neural Networks		Supervised and Unsupervised Pattern Recognition: Feature Extraction and Computational Intelligence: Feature Extraction and Computational Intelligence	Evangelia Miche Tzanakou; Richard C. Dorf; WooGon Chung; J. David Irwin; Timothy Dasey; Faiq Fazal; Seth Wolpert; Daniel A. Zahner; Ahmet Ademoglu; Cynthia Enderwick; Timothy J. Dasey; Major Timothy Cooley; Sergey Aleynikov; Jeremy Bricker; T. S. Chon; Francis Phan; Faig A. Fazil; Raymond Iezzi	2000	Routledge
Learning and Coding in Neural Networks	Rodrigo Quian Quiroga; Stefano Panzeri	Principles of Neural Coding	Rodrigo Quian Quiroga; Stefano Panzeri	2013	Routledge
Modular Neural Networks and Their Applications in Biometrics	Yanlai Li; David Zhang	Trends in Neural Computation	Ke Chen; Lipo Wang	2007	Springer Berlin Heidelberg
Neural Networks, Deep Learning Nets and Reinforcement Learning and Neural Networks		2022 CFA Program Curriculum Level II Box Set (vol. 1-6)	CFA Institute	2021	Wiley
Web Documents Categorization Using Neural Networks	Renato Fernandes Corrêa; Teresa Bernarda Ludermir	Neural Information Processing: 11th International Conference, ICONIP 2004 Calcutta, India, November 22–25, 2004 Proceedings	Nikil R. Pal; Nikola Kasabov; Rajani K. Mudi; Srimanta Pal; Swapan K. Parui	2004	Springer Berlin Heidelberg
Artificial Neural Networks Based Place Categorization	Andreas Kriegler; Wilfried Wöber; Mohamed Aburaia	Digital Conversion on the Way to Industry 4. 0: Selected Papers from ISPR2020, September 24-26, 2020 Online - Turkey	Numan M. Durakbasa; M. Güneş Gençyılmaz	1st ed. 2021	Springer International Publishing
Encoding Multisensory Information in Modular Neural Networks	He Wang; Wen-Hao Zhang; K. Y. Michael Wong; Si Wu	Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14–18, 2017, Proceedings, Part IV	Derong Liu; Shengli Xie; Yuanqing Li; Dongbin Zhao; El-Sayed M. El-Alfy	1st ed. 2017	Springer International Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

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