Foundations of Computational Intelligence Volume 2: Approximate Reasoning

Foundations of Computational Intelligence Volume 2: Approximate Reasoning
Publisher: Springer | ISBN: 3642015328 | edition 2009 | File type: PDF | 310 pages | 12,1 mb

Human reasoning usually is very approximate and involves various types of uncertainties. Approximate reasoning is the computational modelling of any part of the process used by humans to reason about natural phenomena or to solve real world problems. The scope of this book includes fuzzy sets, Dempster-Shafer theory, multi-valued logic, probability, random sets, and rough set, near set and hybrid intelligent systems. Besides research articles and expository papers on theory and algorithms of approximation reasoning, papers on numerical experiments and real world applications were also encouraged. This Volume comprises of 12 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Intelligence techniques for approximation reasoning.


[Fast Download] Foundations of Computational Intelligence Volume 2: Approximate Reasoning

Related eBooks:
Artificial Intelligence in the Age of Neural Networks and Brain Computing
Power Systems Resilience: Modeling, Analysis and Practice
Understanding Geometric Algebra for Electromagnetic Theory
Spectacular touch typing tips
Turned On: Science, Sex and Robots
Beyond-CMOS Technologies for Next Generation Computer Design
Agent Technology from a Formal Perspective
Digital Signal Processing: WITH DSP Laboratory Using MATLAB: A Computer-Based Approach,2 Ed
Natural Mechanics: Dispelling the Mass Tangent
III-V Compound Semiconductors
Arduino: Best Practices to Learn and Execute Arduino Programming
Design and Modeling of Inductors, Capacitors and Coplanar Waveguides at Tens of Ghz Frequencies
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.