Fuzzy Cognitive Maps for Applied Sciences and Engineering

Name: Fuzzy Cognitive Maps for Applied Sciences and Engineering
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642397387
Price: 553.26 RON
Availability: InStock

From Fundamentals to Extensions and Learning Algorithms. Book w. online files/update

Autor: Elpiniki I. Papageorgiou

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Legare: Copertă tare

Editura: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Disponibilitate: În depozitul extern

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Fuzzy Cognitive Maps (FCM) constitute cognitive models in the form of fuzzy directed graphs consisti...

Informații despre carte

Autor

Elpiniki I. Papageorgiou

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2013

Pagini

395

EAN

9783642397387

ISBN

3642397387

Enbook ID

02006949

Editura

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Greutate

7568

Dimensiuni

155 x 235 x 28

Descriere completă

Fuzzy Cognitive Maps (FCM) constitute cognitive models in the form of fuzzy directed graphs consisting of two basic elements: the nodes, which basically correspond to concepts bearing different states of activation depending on the knowledge they represent, and the edges denoting the causal effects that each source node exercises on the receiving concept expressed through weights. Weights take values in the interval [-1,1], which denotes the positive, negative or neutral causal relationship between two concepts. An FCM can be typically obtained through linguistic terms, inherent to fuzzy systems, but with a structure similar to the neural networks, which facilitates data processing, and has capabilities for training and adaptation.§During the last ten years, an exponential growth of published papers in FCMs was followed showing great impact potential. Different FCM structures and learning schemes have been developed, while numerous studies report their use in many contexts with highly successful modeling results. §The aim of this book is to fill the existing gap in the literature concerning fundamentals, models, extensions and learning algorithms for FCMs in knowledge engineering. It comprehensively covers the state-of-the-art FCM modeling and learning methods, with algorithms, codes and software tools, and provides a set of applications that demonstrate their various usages in applied sciences and engineering.§

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Fuzzy Cognitive Maps for Applied Sciences and Engineering

From Fundamentals to Extensions and Learning Algorithms. Book w. online files/update

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Descriere completă

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