๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Fuzzy and neural approaches in engineering

โœ Scribed by Lefteri H. Tsoukalas; Robert E. Uhrig


Publisher
Wiley-Interscience
Year
1997
Tongue
English
Leaves
599
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. This definitive book presents the fundamentals of both technologies, and demonstrates how to combine the unique capabilities of these two technologies for the greatest advantage. Steering clear of unnecessary mathematics, the book highlights a wide range of dynamic possibilities and offers numerous examples to illuminate key concepts. It also explores the value of relating genetic algorithms and expert systems to fuzzy and neural technologies.


๐Ÿ“œ SIMILAR VOLUMES


Uncertainty Analysis in Engineering and
โœ Bilal M. Ayyub PhD, PE, Madan M. Gupta PhD (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 1998 ๐Ÿ› Springer US ๐ŸŒ English

<p>Uncertainty has been of concern to engineers, managers and . scientists for many centuries. In management sciences there have existed definitions of uncertainty in a rather narrow sense since the beginning of this century. In engineering and uncertainty has for a long time been considered as in s

Neuro-Fuzzy and Fuzzy-Neural Application
โœ Professor Peter Stavroulakis (auth.), Professor Peter Stavroulakis (eds.) ๐Ÿ“‚ Library ๐Ÿ“… 2004 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

<p><P>This highly interdisciplinary book covers for the first time the applications of neurofuzzy and fuzzyneural scientific tools in a very wide area within the communications field. It deals with the important and modern areas of telecommunications amenable to such a treatment. Therefore, it is of

Fuzzy neural intelligent systems: mathem
โœ Hongxing Li, C.L. Philip Chen, Han-Pang Huang ๐Ÿ“‚ Library ๐Ÿ“… 2001 ๐Ÿ› CRC Press ๐ŸŒ English

Although fuzzy systems and neural networks stand central to the field of soft computing, most research work has focused on the development of the theories, algorithms, and designs of systems for specific applications. There has been little theoretical support for fuzzy neural systems, especially the

Fuzzy neural intelligent systems: mathem
โœ Hongxing Li, C.L. Philip Chen, Han-Pang Huang ๐Ÿ“‚ Library ๐Ÿ“… 2000 ๐Ÿ› CRC Press ๐ŸŒ English

Although fuzzy systems and neural networks stand central to the field of soft computing, most research work has focused in the development of the theories, algorithms, and designs of systems for specific applications. There has been little theoretical support for fuzzy neural systems, especially the

Computational Intelligence in Reliabilit
โœ Yun-Chia Liang, Alice E. Smith (auth.), Dr. Gregory Levitin (eds.) ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

<p><P>This volume contains chapters presenting applications of different metaheuristics (ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization) in reliability engineering. It also includes chapters devoted to cellular automata and support vector machin