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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
J. WESLEY HINES, PhD, is a research assistant professor in the Nuclear Engineering Department at the University of Tennessee.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-Unis
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Vendeur : Aspen Book Co., Denver, CO, Etats-Unis
Etat : 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! N° de réf. du vendeur PKV.0471192473.G
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Vendeur : Russell Books, Victoria, BC, Canada
paperback. Etat : New. Special order direct from the distributor. N° de réf. du vendeur ING9780471192473
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : 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. N° de réf. du vendeur 9780471192473
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Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Etat : 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. . . . . N° de réf. du vendeur V9780471192473
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. pap/dsk edition. 210 pages. 11.00x8.75x0.50 inches. In Stock. N° de réf. du vendeur x-0471192473
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Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
Etat : 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. N° de réf. du vendeur V9780471192473
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Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : 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. N° de réf. du vendeur 9780471192473
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Vendeur : Buchpark, Trebbin, Allemagne
Etat : 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. N° de réf. du vendeur 2369026/2
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