Traffic Control and Transport Planning:: A Fuzzy Sets and Neural Networks Approach

Traffic Control and Transport Planning:: A Fuzzy Sets and Neural Networks Approach

by Dusan Teodorovic, Katarina Vukadinovic
     
 
The goal of this book is to acquaint the reader with the basic elements of fuzzy set theory, fuzzy logic, fuzzy logic systems, artificial neural networks, neurofuzzy modeling, and applications of fuzzy logic and neural networks to date in traffic and transportation engineering, and to indicate the directions for future research in this area.

Overview

The goal of this book is to acquaint the reader with the basic elements of fuzzy set theory, fuzzy logic, fuzzy logic systems, artificial neural networks, neurofuzzy modeling, and applications of fuzzy logic and neural networks to date in traffic and transportation engineering, and to indicate the directions for future research in this area.

Editorial Reviews

Booknews
Familiarizes the reader with the basic elements of the fuzzy set theory, fuzzy logic, fuzzy logic systems, artificial neural networks, neurofuzzy modeling, and applications of fuzzy logic and neural networks to data in traffic and transportation engineering. The volume begins with basic definitions of the fuzzy sets theory followed by discussion of fuzzy models developed in transportation applications; a fuzzy mathematical programming approach to transportation; applications of artificial neural networks in transportation; and generating and tuning the fuzzy logic systems developed in transportation applications. The authors also indicate directions for future research in the discipline. Annotation c. by Book News, Inc., Portland, Or.

Product Details

ISBN-13:
9789401058926
Publisher:
Springer Netherlands
Publication date:
12/31/2013
Series:
International Series in Intelligent Technologies , #13
Edition description:
Softcover reprint of the original 1st ed. 1998
Pages:
387
Product dimensions:
6.10(w) x 9.25(h) x 0.03(d)

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