<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
Fuzzy and neural approaches in engineering
โ Scribed by Lefteri H. Tsoukalas; Robert E. Uhrig
- Publisher
- Wiley-Interscience
- Year
- 1997
- Tongue
- English
- Leaves
- 599
- Category
- Library
No coin nor oath required. For personal study only.
โฆ 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.
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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
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