Knowledge-Based Neurocomputing: A Fuzzy Logic Approach

By Eyal Kolman and Michael Margaliot

Book Overview

In this monograph, the authors introduce a novel fuzzy rule-base, referred to as the Fuzzy All-permutations Rule-Base (FARB). They show that inferring the FARB, using standard tools from fuzzy logic theory, yields an input-output map that is mathematically equivalent to that of an artificial neural network. Conversely, every standard artificial neural network has an equivalent FARB.

The FARB-ANN equivalence integrates the merits of symbolic fuzzy rule-bases and sub-symbolic artificial neural networks, and yields a new approach for knowledge-based neurocomputing in artificial neural networks.

• Format: Paperback
• Language: English
• ISBN: 3642099858
• ISBN13: 9783642099854
• Release Date: October 2010
• Publisher: Springer
• Length: 100 Pages
• Weight: 0.39 lbs.
• Dimensions: 0.3" x 6.1" x 9.2"