Fuzzy Multilayer Perceptrons

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Authors: Sansanee Auephanwiriyakul
Cited by: 0

Abstract

There have been several studies on fuzzification of neural networks in the literature; however, in this chapter, a different way of calculation in the fuzzy perceptron and fuzzy multilayer perceptrons that work directly on fuzzy vectors will be described. The fuzzy multilayer perceptrons is described in two ways. One way is an extension version of the regular multilayer perceptrons. Another way is the fuzzy multilayer perceptrons with the cuckoo search (used to find the optimized weight vectors). In addition, this chapter provides examples of implementations on real datasets, i.e., KBE, post-operative patient, and Airfoid self-noise data sets.

Fields of Study & Subjects

Fuzzy Logic and Control Systems Neural Networks and Applications Fuzzy Systems and Optimization

Publication details

Journal / source
CRC Press eBooks
Pages
55–70
Publication date
6 March 2026
Language
EN
Document type
Book chapter