Evolutionary Fuzzy

Fundamentals of the New Artificial Intelligence: Neural, Evolutionary, Fuzzy and More (Texts in Computer Science) (Repost)

Fundamentals of the New Artificial Intelligence: Neural, Evolutionary, Fuzzy and More (Texts in Computer Science) By Toshinori Munakata
Publisher: Sprin,.,ger; 2nd edition 2008 | 260 Pages | ISBN: 184628838X | PDF | 4 MB
Fundamentals of the New Artificial Intelligence: Neural, Evolutionary, Fuzzy and More

Toshinori Munakata, "Fundamentals of the New Artificial Intelligence: Neural, Evolutionary, Fuzzy and More"
Springer; 2 edition (December 28, 2007) | ISBN: 184628838X | 238 pages | PDF | 3,1 Mb

Neural Networks, Fuzzy Systems and Evolutionary Algorithms: Synthesis and Applications  eBooks & eLearning

Posted by AlenMiler at Sept. 17, 2017
Neural Networks, Fuzzy Systems and Evolutionary Algorithms: Synthesis and Applications

Neural Networks, Fuzzy Systems and Evolutionary Algorithms: Synthesis and Applications by S. Rajasekaran
English | 1 Sept. 2017 | ISBN: 812035334X | ASIN: B0757KXR13 | 572 Pages | AZW3 | 31.68 MB
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

"Fuzzy Inference System: Theory and Applications" ed. by Mohammad Fazle Azeem  eBooks & eLearning

Posted by exLib at Sept. 12, 2015
"Fuzzy Inference System: Theory and Applications" ed. by Mohammad Fazle Azeem

"Fuzzy Inference System: Theory and Applications" ed. by Mohammad Fazle Azeem
InTeO | 2012 | ISBN: 9535105256 9789535105251 | 516 pages | PDF | 14 MB

This book is an attempt to accumulate the researches on diverse inter disciplinary field of engineering and management using Fuzzy Inference System (FIS).
Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing

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

Fuzzy Logic and Information Fusion:  eBooks & eLearning

Posted by arundhati at July 22, 2016
Fuzzy Logic and Information Fusion:

Tomasa Calvo Sánchez, Joan Torrens Sastre, "Fuzzy Logic and Information Fusion: To commemorate the 70th birthday of Professor Gaspar Mayor"
2016 | ISBN-10: 3319304194 | 260 pages | PDF | 4 MB

"Advances in Evolutionary Algorithms" ed. by Witold Kosinski  eBooks & eLearning

Posted by exLib at Jan. 17, 2015
"Advances in Evolutionary Algorithms" ed. by Witold Kosinski

"Advances in Evolutionary Algorithms" ed. by Witold Kosinski
InTeOpP | 2008 | ISBN: 9537619117 9789537619114 | 4786 pages | PDF | 47 MB

Aim of the book is to present recent improvements, innovative ideas and concepts in a part of a huge Evolutionary Algorithms field.
Fuzzy Haskins - A Whole Nother Radio Active Thang (1994) {Westbound/Ace} **[RE-UP]**

Fuzzy Haskins - A Whole Nother Radio Active Thang (1994) {Westbound/Ace}
EAC Rip | FLAC with CUE and log | scans | 526 mb
MP3 CBR 320kbps | RAR | 205 mb
Genre: R&B, soul, funk

A Whole Nother Radio Active Thang is a 1994 CD by singer Fuzzy Haskins. It is a combination of two of his albums, 1976's A Whole Nother Thang and 1978's Radio Active, and includes a track sandwiched in the middle, previously unreleased. This was put together by Westbound via Ace UK.

Uncertain Rule-Based Fuzzy Systems: Introduction and New Directions, 2nd Edition  eBooks & eLearning

Posted by AvaxGenius at April 26, 2018
Uncertain Rule-Based Fuzzy Systems: Introduction and New Directions, 2nd Edition

Uncertain Rule-Based Fuzzy Systems: Introduction and New Directions, 2nd Edition By Jerry M. Mendel
English | EPUB | 2017 | 684 Pages | ISBN : 3319513699 | 13.21 MB

The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems – from type-1 to interval type-2 to general type-2 – in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material.