Ebooks de Qiang Shen en PDF et EPUB

4 Livre(s)
Télécharger le livre : Fuzzy Rule-Based Inference
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Fuzzy Rule-Based Inference
Fangyi Li , Qiang Shen
This book covers a comprehensive approach to the development and application of a suite of novel algorithms for practical approximate knowledge-based inference. It includes an introduction to the fundamental concepts of fuzzy sets, fuzzy logic, and fuzzy inference....

Editeur : Springer
Parution : 2024-04-08

PDF, ePub

158,99 €
Télécharger le livre : Backward Fuzzy Rule Interpolation
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Backward Fuzzy Rule Interpolation
Shangzhu Jin , Jun Peng , Qiang Shen
This book chiefly presents a novel approach referred to as backward fuzzy rule interpolation and extrapolation (BFRI). BFRI allows observations that directly relate to the conclusion to be inferred or interpolated from other antecedents and conclusions. Based on the...

Editeur : Springer
Parution : 2018-08-12

PDF, ePub

95,39 €
Télécharger le livre : Advances in Computational Intelligence Systems
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Advances in Computational Intelligence Systems
Plamen Angelov , Alexander Gegov , Chrisina Jayne , Qiang Shen
The book is a timely report on advanced methods and applications of computational intelligence systems. It covers a long list of interconnected research areas, such as fuzzy systems, neural networks, evolutionary computation, evolving systems and machine learning.The...

Editeur : Springer
Parution : 2016-09-06
Collection : Advances in Intelligent Systems and Computing
PDF, ePub

211,99 €
Télécharger le livre : Computational Intelligence and Feature Selection
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Computational Intelligence and Feature Selection
Richard Jensen , Qiang Shen
The rough and fuzzy set approaches presented here open up many new frontiers for continued research and development Computational Intelligence and Feature Selection provides readers with the background and fundamental ideas behind Feature Selection (FS), with an...

Editeur : Wiley-IEEE Press
Parution : 2008-10-03
Collection : IEEE Press Series on Computational Intelligence
PDF

163,19 €