May 2024
Intermediate to advanced
609 pages
24h 17m
English
book
Introduction to Soft Computing: Neuro-Fuzzy and Genetic Algorithms
by Samir Roy, Udit Chakraborty
Content preview from Introduction to Soft Computing: Neuro-Fuzzy and Genetic Algorithms
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4
FUZZY INFERENCE SYSTEMS
Key Concepts
Aggregation, Centre-of-sums (CoS) method, Centroid/Centre-of-gravity method, Defuzzi cation,
Fuzzi cation, Fuzzy air-conditioner controller, Fuzzy and associative memory (FAM), Fuzzy controller,
Fuzzy cruise controller, Fuzzy rule base, Mean-of-maxima (MoM) method, Rule implication
Chapter Outline
4.1 Introduction
4.2 Fuzzi cation of Input Variables
4.3 Application of Fuzzy Operators
4.4 Evaluation of Fuzzy Rules
4.5 Aggregation of Output Fuzzy Sets
4.6 Defuzzi cation
4.7 Fuzzy Controllers
Chapter Summary
Solved Problems
Test Your Knowledge
Exercise
Bibliography and Historical Notes
e previous chapter pro
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.