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MATLAB Supplement to Fuzzy and Neural Approaches in ENgineering (with disk) - Softcover
Book 15 of 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
Synopsis
This book and disk set introduces the fundamentals necessary toapply fuzzy systems, neural networks, and integrated "neurofuzzy"technology to engineering problems using MATLAB. Whether used onits own or as a companion to Fuzzy and Neural Approaches inEngineering by Lefteri H. Tsoukalas and Robert E. Uhrig (Wiley1997), it takes readers step by step from theory to codedevelopment and implementation--enabling students andresearchers to explore the new frontiers in soft computing.
The Supplement features:
* A practical introduction to MATLAB, plus lists of online andother available resources
* MATLAB code demonstrations of theory and architecturesdiscussed in Fuzzy and Neural Approaches in Engineering
* Foundations of fuzzy approaches and relationships, fuzzynumbers, and fuzzy control
* Fundamentals of competitive, associative, and dynamic neuralnetworks and neural control systems
* Practical coverage of neural methods in fuzzy systems and otherhybrid neurofuzzy systems and applications.
System requirements for IBM-compatible disk:
* 486 processor (Pentium recommended)
* 8 MB of RAM (16 MB recommended)
* 5 MB hard disk space
* MATLAB--student or professional edition
* Microsoft Word 6.0 or 7.0.
"synopsis" may belong to another edition of this title.
About the Author
J. WESLEY HINES, PhD, is a research assistant professor in the Nuclear Engineering Department at the University of Tennessee.
From the Back Cover
This book and disk set introduces the fundamentals necessary to apply fuzzy systems, neural networks, and integrated "neurofuzzy" technology to engineering problems using MATLAB. Whether used on its own or as a companion to Fuzzy and Neural Approaches in Engineering by Lefteri H. Tsoukalas and Robert E. Uhrig (Wiley 1997), it takes readers step by step from theory to code development and implementation―enabling students and researchers to explore the new frontiers in soft computing.
The Supplement features:
- A practical introduction to MATLAB, plus lists of online and other available resources
- MATLAB code demonstrations of theory and architectures discussed in Fuzzy and Neural Approaches in Engineering
- Foundations of fuzzy approaches and relationships, fuzzy numbers, and fuzzy control
- Fundamentals of competitive, associative, and dynamic neural networks and neural control systems
- Practical coverage of neural methods in fuzzy systems and other hybrid neurofuzzy systems and applications.
System requirements for IBM-compatible disk:
- 486 processor (Pentium recommended)
- 8 MB of RAM (16 MB recommended)
- 5 MB hard disk space
- MATLAB―student or professional edition
- Microsoft Word 6.0 or 7.0.
From the Inside Flap
This book and disk set introduces the fundamentals necessary to apply fuzzy systems, neural networks, and integrated "neurofuzzy" technology to engineering problems using MATLAB. Whether used on its own or as a companion to Fuzzy and Neural Approaches in Engineering by Lefteri H. Tsoukalas and Robert E. Uhrig (Wiley 1997), it takes readers step by step from theory to code development and implementation—enabling students and researchers to explore the new frontiers in soft computing.
The Supplement features:
- A practical introduction to MATLAB, plus lists of online and other available resources
- MATLAB code demonstrations of theory and architectures discussed in Fuzzy and Neural Approaches in Engineering
- Foundations of fuzzy approaches and relationships, fuzzy numbers, and fuzzy control
- Fundamentals of competitive, associative, and dynamic neural networks and neural control systems
- Practical coverage of neural methods in fuzzy systems and other hybrid neurofuzzy systems and applications.
System requirements for IBM-compatible disk:
- 486 processor (Pentium recommended)
- 8 MB of RAM (16 MB recommended)
- 5 MB hard disk space
- MATLAB—student or professional edition
- Microsoft Word 6.0 or 7.0.
"About this title" may belong to another edition of this title.
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MATLAB Supplement to Fuzzy and Neural Approaches in Engineering (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
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MATLAB Supplement to Fuzzy and Neural Approaches in Engineering (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
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MATLAB Supplement to Fuzzy and Neural Approaches in Engineering (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
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MATLAB Supplement to Fuzzy and Neural Approaches in Engineering (Paperback)
Published by
John Wiley & Sons Inc, New York, 1997
ISBN 10: 0471192473
ISBN 13: 9780471192473
New
Paperback
First Edition
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. This book and disk set introduces the fundamentals necessary toapply fuzzy systems, neural networks, and integrated "neurofuzzy"technology to engineering problems using MATLAB. Whether used onits own or as a companion to Fuzzy and Neural Approaches inEngineering by Lefteri H. Tsoukalas and Robert E. Uhrig (Wiley1997), it takes readers step by step from theory to codedevelopment and implementation--enabling students andresearchers to explore the new frontiers in soft computing. The Supplement features: * A practical introduction to MATLAB, plus lists of online andother available resources * MATLAB code demonstrations of theory and architecturesdiscussed in Fuzzy and Neural Approaches in Engineering * Foundations of fuzzy approaches and relationships, fuzzynumbers, and fuzzy control * Fundamentals of competitive, associative, and dynamic neuralnetworks and neural control systems * Practical coverage of neural methods in fuzzy systems and otherhybrid neurofuzzy systems and applications. System requirements for IBM-compatible disk: * 486 processor (Pentium recommended) * 8 MB of RAM (16 MB recommended) * 5 MB hard disk space * MATLAB--student or professional edition * Microsoft Word 6.0 or 7.0. Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. Researchers are applying neural networks and fuzzy systems in series, from the use of fuzzy inputs and outputs for neural networks to the employment of individual neural networks to quantify the shape of a fuzzy membership function. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780471192473
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MATLAB Supplement to Fuzzy and Neural Approaches in Engineering
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Wiley-Interscience, 1997
ISBN 10: 0471192473
ISBN 13: 9780471192473
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First Edition
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Condition: New. Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. Researchers are applying neural networks and fuzzy systems in series, from the use of fuzzy inputs and outputs for neural networks to the employment of individual neural networks to quantify the shape of a fuzzy membership function. Num Pages: 224 pages, Illustrations. BIC Classification: PBWX; TBC. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 281 x 214 x 11. Weight in Grams: 540. . 1997. 1st Edition. paperback. . . . . Seller Inventory # V9780471192473
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MATLAB Supplement to Fuzzy and Neural Approaches in Engineering
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Fuzzy and Neural Approaches in Engineering, MATLAB Supplement (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
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MATLAB Supplement to Fuzzy and Neural Approaches in Engineering
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Condition: New. Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. Researchers are applying neural networks and fuzzy systems in series, from the use of fuzzy inputs and outputs for neural networks to the employment of individual neural networks to quantify the shape of a fuzzy membership function. Num Pages: 224 pages, Illustrations. BIC Classification: PBWX; TBC. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 281 x 214 x 11. Weight in Grams: 540. . 1997. 1st Edition. paperback. . . . . Books ship from the US and Ireland. Seller Inventory # V9780471192473
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MATLAB Supplement to Fuzzy and Neural Approaches in Engineering (Paperback)
Published by
John Wiley & Sons Inc, New York, 1997
ISBN 10: 0471192473
ISBN 13: 9780471192473
New
Paperback
First Edition
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. This book and disk set introduces the fundamentals necessary toapply fuzzy systems, neural networks, and integrated "neurofuzzy"technology to engineering problems using MATLAB. Whether used onits own or as a companion to Fuzzy and Neural Approaches inEngineering by Lefteri H. Tsoukalas and Robert E. Uhrig (Wiley1997), it takes readers step by step from theory to codedevelopment and implementation--enabling students andresearchers to explore the new frontiers in soft computing. The Supplement features: * A practical introduction to MATLAB, plus lists of online andother available resources * MATLAB code demonstrations of theory and architecturesdiscussed in Fuzzy and Neural Approaches in Engineering * Foundations of fuzzy approaches and relationships, fuzzynumbers, and fuzzy control * Fundamentals of competitive, associative, and dynamic neuralnetworks and neural control systems * Practical coverage of neural methods in fuzzy systems and otherhybrid neurofuzzy systems and applications. System requirements for IBM-compatible disk: * 486 processor (Pentium recommended) * 8 MB of RAM (16 MB recommended) * 5 MB hard disk space * MATLAB--student or professional edition * Microsoft Word 6.0 or 7.0. Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. Researchers are applying neural networks and fuzzy systems in series, from the use of fuzzy inputs and outputs for neural networks to the employment of individual neural networks to quantify the shape of a fuzzy membership function. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780471192473
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MATLAB Supplement to Fuzzy and Neural Approaches in Engineering
Seller: Buchpark, Trebbin, Germany
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book and disk set introduces the fundamentals necessary to apply fuzzy systems, neural networks, and integrated "neurofuzzy" technology to engineering problems using MATLAB. Whether used on its own or as a companion to Fuzzy and Neural Approaches in Engineering by Lefteri H. Tsoukalas and Robert E. Uhrig (Wiley 1997), it takes readers step by step from theory to code development and implementation-enabling students and researchers to explore the new frontiers in soft computing. The Supplement features: A practical introduction to MATLAB, plus lists of online and other available resources MATLAB code demonstrations of theory and architectures discussed in Fuzzy and Neural Approaches in Engineering Foundations of fuzzy approaches and relationships, fuzzy numbers, and fuzzy control Fundamentals of competitive, associative, and dynamic neural networks and neural control systems Practical coverage of neural methods in fuzzy systems and other hybrid neurofuzzy systems and applications. System requirements for IBM-compatible disk: 486 processor (Pentium recommended) 8 MB of RAM (16 MB recommended) 5 MB hard disk space MATLAB-student or professional edition Microsoft Word 6.0 or 7.0. Seller Inventory # 2369026/202