Neural Networks And Fuzzy Logic

Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models (Repost)

Vojislav Kecman, "Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models"
English | 2001 | ISBN: 0262112558 | PDF | pages: 576 | 68,1 mb

C++ Neural Networks And Fuzzy Logic  

Posted by AlenMiler at Sept. 23, 2015
C++ Neural Networks And Fuzzy Logic

C++ Neural Networks And Fuzzy Logic by Virender Singh
English | 2015-09-19 | ASIN: B015LRODBI | 447 Pages | True MOBI (Kindle)/(EPUB/PDF conv) | 17.39 MB

An Excellent Book On Artificial Intelligence Programming, C++ Neural Networks And Fuzzy Logic With The Application Of C++.

C++ Neural Networks and Fuzzy Logic (Repost)  

Posted by step778 at April 14, 2015
C++ Neural Networks and Fuzzy Logic (Repost)

Valluru B. Rao, Hayagriva Rao, "C++ Neural Networks and Fuzzy Logic"
1995 | pages: 549 | ISBN: 1558515526 | CHM | 2,3 mb
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models

Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models By Vojislav Kecman
2001 | 576 Pages | ISBN: 0262112558 | PDF | 68 MB

C++ Neural Networks and Fuzzy Logic (Repost)  

Posted by DZ123 at Feb. 7, 2011
C++ Neural Networks and Fuzzy Logic (Repost)

C++ Neural Networks and Fuzzy Logic
Publisher: M & T Books | ISBN: 1558515526 | edition 1995 | CHM | 549 pages | 2,3 mb

The extensively revised and updated edition provides a logical and easy-to-follow progression through C++ programming for two of the most popular technologies for artificial intelligence–neural and fuzzy programming. The authors cover theory as well as practical examples, giving programmers a solid foundation as well as working examples with reusable code.
Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models (Repost)

Oliver Nelles, "Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models"
English | 2000-11-06 | ISBN: 3540673695 | 401 pages | PDF | 105 mb
Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models (Repost)

Oliver Nelles, "Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models"
English | 2000-12-12 | ISBN: 3540673695 | 401 pages | PDF | 105 mb
Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models

Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models
Publisher: Springer | ISBN: 3540673695 | edition 2000 | PDF | 785 pages | 105,2 mb

The book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. Additionally, it provides the reader with the necessary background on optimization techniques making the book self-contained. The emphasis is put on modern methods based on neural networks and fuzzy systems without neglecting the classical approaches. The entire book is written from an engineering point-of-view, focusing on the intuitive understanding of the basic relationships. This is supported by many illustrative figures. Advanced mathematics is avoided. Thus, the book is suitable for last year undergraduate and graduate courses as well as research and development engineers in industries.
Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy

Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems

9783540241218 (3540241213) | Springer, 2005 | 8 MB | RS | FF
Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing (Repost)

Nazmul Siddique, "Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing"
English | ISBN: 1118337840 | 2013 | PDF | 517 pages | 4.4 MB