- Hardcover: 600 pages
- Publisher: Wiley-Interscience; 1 edition (Jan 22 1997)
- Language: English
- ISBN-10: 0471160032
- ISBN-13: 978-0471160038
- Product Dimensions: 24.3 x 16.4 x 3.5 cm
- Shipping Weight: 975 g
- Average Customer Review: 5.0 out of 5 stars See all reviews (1 customer review)
- Amazon Bestsellers Rank: #1,365,245 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Product Details |
Product Description
Book Description
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.
From the Publisher
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.
Inside This Book
(Learn More)
First Sentence
The term "artificial intelligence" (AI), in its broadest sense, encompasses a number of technologies that includes, but is not limited to, expert systems, neural networks, genetic algorithms, fuzzy logic systems, cellular automata, chaotic systems, and anticipatory systems. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
The term "artificial intelligence" (AI), in its broadest sense, encompasses a number of technologies that includes, but is not limited to, expert systems, neural networks, genetic algorithms, fuzzy logic systems, cellular automata, chaotic systems, and anticipatory systems. Read the first page
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Concordance
Browse Sample PagesConcordance
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Customer Reviews
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Most helpful customer reviews
5.0 out of 5 stars
a great tool for engineering research,
By mironidis.a@nypa.gov (White Plains, NY) - See all my reviews
This review is from: Fuzzy and Neural Approaches in Engineering (Hardcover)
I have been impressed by the clarity of the presented material and the intelligent choice of the various examples that are found in the text. One rarely finds such a well connected presentation of knowledge. This book gave me the capability to further expand my exploration efforts in this very interesting subject.
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Most Helpful Customer Reviews on Amazon.com (beta) Amazon.com:
5.0 out of 5 stars (2 customer reviews) 6 of 10 people found the following review helpful
5.0 out of 5 stars
a great tool for engineering research,
By mironidis.a@nypa.gov - Published on Amazon.com
This review is from: Fuzzy and Neural Approaches in Engineering (Hardcover)
I have been impressed by the clarity of the presented material and the intelligent choice of the various examples that are found in the text. One rarely finds such a well connected presentation of knowledge. This book gave me the capability to further expand my exploration efforts in this very interesting subject.
0 of 1 people found the following review helpful
5.0 out of 5 stars
Great,
By Purdue nuke - Published on Amazon.com
Amazon Verified Purchase(What's this?)
This review is from: Fuzzy and Neural Approaches in Engineering (Hardcover)
Great seller, I got the item less than 24 hours of when I ordered it. He was very friendly and even told me a little about the class I was using it for. It was an all round great experience.
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