ISBN: 9780471160038 - fuzzy and neural approaches in engineering (adaptive and cognitive dynamic systems: signal processing, learning, communications and control) (31 Ergebnisse)

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Hardcover. Zustand: Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

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hardcover. Zustand: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

Hardcover. Zustand: Very Good+. 1st Edition. Minor shelf wear. Otherwise a tight, unmarked volume. Index. xix, 587 pp.

Zustand: Gut. Zustand: Gut | Seiten: 608 | Sprache: Englisch | Produktart: Bücher | Provides a truly accessible introduction and a fully integrated approach to fuzzy systems and neural networks-the definitive text for students and practicing engineers Researchers are already 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. But the integration of these two fields into a "neurofuzzy" technology holds even greater potential benefits in reducing computing time and optimizing results. Fuzzy and Neural Approaches in Engineering presents a detailed examination of the fundamentals of fuzzy systems and neural networks and then joins them synergistically-combining the feature extraction and modeling capabilities of the neural network with the representation capabilities of fuzzy systems. Exploring the value of relating genetic algorithms and expert systems to fuzzy and neural technologies, this forward-thinking text highlights an entire range of dynamic possibilities within soft computing. With examples specifically designed to illuminate key concepts and overcome the obstacles of notation and overly mathematical presentations often encountered in other sources, plus tables, figures, and an up-to-date bibliography, this unique work is both an important reference and a practical guide to neural networks and fuzzy systems.…

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Zustand: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

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HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Zustand: New. In English.

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Hardcover. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 3-4 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Zustand: New. pp. 600.

Zustand: 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. Series: Adaptive and Learning Systems for Signal Processing, Communications and Control Series. Num Pages: 600 pages, Illustrations. BIC Classification: PBWX; TBJ; TJ; UYAM; UYF; UYQN. Category: (P) Professional & Vocational. Dimension: 244 x 168 x 38. Weight in Grams: 1016. . 1997. 1st Edition. Hardcover. . . . .…

Zustand: New. pp. 600.

Zustand: New. LEFTERI H. TSOUKALAS, PhD, is on the faculty of the School of Nuclear Engineering at Purdue University and is an active industrial consultant and speaker. ROBERT E. UHRIG, PhD, holds a joint appointment as Distinguished Professor in the Nuclear Engineering .

Hardcover. Zustand: Brand New. 587 pages. 9.75x6.75x1.50 inches. In Stock.

Zustand: 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. Series: Adaptive and Learning Systems for Signal Processing, Communications and Control Series. Num Pages: 600 pages, Illustrations. BIC Classification: PBWX; TBJ; TJ; UYAM; UYF; UYQN. Category: (P) Professional & Vocational. Dimension: 244 x 168 x 38. Weight in Grams: 1016. . 1997. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Buch. Zustand: Neu. Neuware - Fuzzy Logic und neuronale Netze, bisher zwei relativ unabhängige Technologien mit überragendem Erfolg, werden in diesem Werk verknüpft. Anhand detaillierter Beispiele werden dem Elektronikingenieur oder Softwaredesigner die erstaunlichen Synergieeffekte nahegebracht, die die kombinierte Anwendung beider Techniken ermöglicht. …

Hardcover. Zustand: new. Hardcover. 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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…