FeaturesWiley-Interscience; Pap/Dis edition May 6, 1997
- Written in: English
- ISBN 10 Number: 0471192473
- ISBN 13 Number: 978-0471192473
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Book Dimensions:
10.8 x 8.5 x 0.8 inches
- Weighs: 1.4 pounds
Product Description
Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. This definitive book presents the basics 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.
Reader Reviews
It seems that most texts on fuzzy and nnets are in very basic form. Given the (fact) substantial use of both types of controllers at the most advanced levels of technology and finance it seems somewhat strange (trade secrets). If you already have Matlab's Fuzzy or NNets the material is somewhat redundant, given that the M-files are easier to work with in Matlab than using the Microsoft Word connection (more later). The manual allows the basic concepts to be easily transported to MathCad and for this reader is worth the book. It is for the begginer without Matlab that this text really shines. It has the Microsoft Words ability to work with the Matlab (although it is not installed) interface to show the reader how the two,fuzzy and nnets, work together. At the very least it allows someone to determine if they wish to proceed with topic (this is the future of control systems). I found that building a sub program in MathCad using set theory operators, to call the sub-routines of fuzzy and nnets worked best. This was a just for fun. Both Matlabs Fuzzy and nnet toolboxes work far better. This text adds fill in material for both Matlabs fuzzy and nnet toolbox texts.
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