Fuzzy evolutionary computation (34 Ergebnisse)

Hardcover. Zustand: Good. The book is in good physical condition. The cover shows minor wear consistent with age, but the binding remains intact. There are no inscriptions, signatures, or library markings. The internal pages are clean and free from annotations. unknown (no dust jacket visible).

Hardback. Zustand: Good. Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation.…

Zustand: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

Zustand: Very Good. Very Good+; Hardcover; Covers are still glossy; Unblemished textblock edges; The endpapers and all text pages are clean and unmarked; The binding is excellent with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); 1.5 lbs; Dark red covers with photo of a galaxy, and title in white and orange lettering; 2016, Wiley-IEEE Press; 378 pages; "Fundamentals of Computational Intelligence: Neural Networks, Fuzzy Systems, and Evolutionary Computation (IEEE Press Series on Computational Intelligence)," by James M. Keller, et al. …

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book includes a selection of twelve carefully revised papers chosen from the papers accepted for presentation at the 4th IEEE/Nagoya-University World Wisepersons Workshop held in Nagoya in November 1995.The combining of the technologies of fuzzy logic, neural networks, and evolutionary computation is expected to open up a new paradigm of machine learning for the realization of human-like information generating systems. The excellent papers presented are organized in sections on fuzzy and evolutionary computation, fuzzy and learning automata, fuzzy and neural networks, genetic algorithms, and CAM-brain.…

Zustand: new.

Taschenbuch. Zustand: Neu. Fuzzy Logic, Neural Networks, and Evolutionary Computation | IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, November 14 - 15, 1995, Selected Papers | Takeshi Furuhashi (u. a.) | Taschenbuch | x | Englisch | 1996 | Springer | EAN 9783540619888 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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

Zustand: New.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 260 | Sprache: Englisch | Produktart: Bücher | This book includes a selection of twelve carefully revised papers chosen from the papers accepted for presentation at the 4th IEEE/Nagoya-University World Wisepersons Workshop held in Nagoya in November 1995. The combining of the technologies of fuzzy logic, neural networks, and evolutionary computation is expected to open up a new paradigm of machine learning for the realization of human-like information generating systems. The excellent papers presented are organized in sections on fuzzy and evolutionary computation, fuzzy and learning automata, fuzzy and neural networks, genetic algorithms, and CAM-brain.…

Zustand: Good. Schutzumschlag angerissen. Cover leicht verschmutzt. Buchschnitt leicht verschmutzt.

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

Zustand: New. In English.

Zustand: New.

Zustand: New. pp. 312.

Zustand: New. Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. Series: IEEE Press Series on Computational Intelligence. Num Pages: 378 pages. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 163 x 25. Weight in Grams: 658. . 2016. Hardback. . . . . …

Zustand: New.

Encuadernación de tapa dura. Zustand: Aceptable. Editor Nikos Mastorakis. Danver. Edit. World Scientific and Engineering Society Press. 2001. 24x17 cm. 349 págs. Ilust. texto a dos columnas. Cartoné edit. Texto en inglés. # mecánica.

Hardcover. Zustand: Brand New. 1st edition. 378 pages. 10.00x7.00x1.00 inches. In Stock.

Zustand: New.

Zustand: New. Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. Series: IEEE Press Series on Computational Intelligence. Num Pages: 378 pages. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 163 x 25. Weight in Grams: 658. . 2016. Hardback. . . . . Books ship from the US and Ireland. …

Zustand: As New. Unread book in perfect condition.

Hardcover. Zustand: Brand New. 307 pages. 9.25x6.25x1.00 inches. In Stock.

Taschenbuch. Zustand: Neu. Fuzzy Evolutionary Computation | Witold Pedrycz | Taschenbuch | xv | Englisch | 2012 | Springer | EAN 9781461378112 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Zustand: New. Intends to highlight a synergistic effect that is emerging between fuzzy sets and evolutionary computation. This volume discusses and quantifies the main advantages arising from this symbiosis. Editor(s): Pedrycz, Witold. Num Pages: 320 pages, biography. BIC Classification: PBWX; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 20. Weight in Grams: 1440. . 1997. Hardback. . . . . …

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - As of today, Evolutionary Computing and Fuzzy Set Computing are two mature, wen -developed, and higbly advanced technologies of information processing. Bach of them has its own clearly defined research agenda, specific goals to be achieved, and a wen setUed algorithmic environment. Concisely speaking, Evolutionary Computing (EC) is aimed at a coherent population -oriented methodology of structural and parametric optimization of a diversity of systems. In addition to this broad spectrum of such optimization applications, this paradigm otTers an important ability to cope with realistic goals and design objectives reflected in the form of relevant fitness functions. The GA search (which is often regarded as a dominant domain among other techniques of EC such as evolutionary strategies, genetic programming or evolutionary programming) delivers a great deal of efficiency helping navigate through large search spaces. The main thrust of fuzzy sets is in representing and managing nonnumeric (linguistic) information. The key notion (whose conceptual as weH as algorithmic importance has started to increase in the recent years) is that of information granularity. It somewhat concurs with the principle of incompatibility coined by L. A. Zadeh. Fuzzy sets form a vehic1e helpful in expressing a granular character of information to be captured. Once quantified via fuzzy sets or fuzzy relations, the domain knowledge could be used efficiently very often reducing a heavy computation burden when analyzing and optimizing complex systems.…

Zustand: gut. Automatic Generation Of Neural Network Architecture Using Evolutionary Computation (Advances in Fuzzy Systems: Application and Theory, Band 14) In deutscher Sprache. pages.

Zustand: New.

Gebunden. Zustand: New. As of today, Evolutionary Computing and Fuzzy Set Computing are two mature, wen -developed, and higbly advanced technologies of information processing. Bach of them has its own clearly defined research agenda, specific goals to be achieved, and a wen setUed.

Zustand: As New. Unread book in perfect condition.