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MATLAB Supplement to Fuzzy and Neural Approaches in Engineering - Brossura
Libro 15 di 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
Sinossi
Die ingenieurtechnische Anwendung von Fuzzy Logic und neuronalen Netzen hat in letzter Zeit immer mehr an Bedeutung gewonnen. Dieses Handbuch enthält auf MATLAB basierende ergänzende Programme zu diesen Themen. Die beiliegende Diskette mit zugehörigen Programmtexten rundet das Werk ab.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull'autore
J. WESLEY HINES, PhD, is a research assistant professor in the Nuclear Engineering Department at the University of Tennessee.
Dalla quarta di copertina
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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MATLAB Supplement to Fuzzy and Neural Approaches in Engineering (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
Editore:
Wiley-Interscience, 1997
ISBN 10: 0471192473
ISBN 13: 9780471192473
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MATLAB Supplement to Fuzzy and Neural Approaches in Engineering (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
Editore:
Wiley-Interscience, 1997
ISBN 10: 0471192473
ISBN 13: 9780471192473
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Condizione: good. A well-loved companion. Corners and cover might show a little wear, and you could find some notes or highlights. The dust jacket might be MIA, it might have been a library book and extras aren't guaranteedâ"but the story's all there! Codice articolo PKV.0471192473.G
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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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paperback. Condizione: New. Special order direct from the distributor. Codice articolo ING9780471192473
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MATLAB Supplement to Fuzzy and Neural Approaches in Engineering (Paperback)
Editore:
John Wiley & Sons Inc, New York, 1997
ISBN 10: 0471192473
ISBN 13: 9780471192473
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condizione: 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. Codice articolo 9780471192473
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MATLAB Supplement to Fuzzy and Neural Approaches in Engineering
Editore:
Wiley-Interscience, 1997
ISBN 10: 0471192473
ISBN 13: 9780471192473
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Condizione: 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. . . . . Codice articolo 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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Condizione: 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. Codice articolo V9780471192473
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MATLAB Supplement to Fuzzy and Neural Approaches in Engineering (Paperback)
Editore:
John Wiley & Sons Inc, New York, 1997
ISBN 10: 0471192473
ISBN 13: 9780471192473
Nuovo
Paperback
Prima edizione
Da: CitiRetail, Stevenage, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: 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. Codice articolo 9780471192473
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MATLAB Supplement to Fuzzy and Neural Approaches in Engineering (Paperback)
Editore:
John Wiley & Sons Inc, New York, 1997
ISBN 10: 0471192473
ISBN 13: 9780471192473
Nuovo
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Da: AussieBookSeller, Truganina, VIC, Australia
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Paperback. Condizione: 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9780471192473
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