Computing Network Model for Intelligent Systems : Hybrid of neural networks, multi-knowledge, fuzzy logic, rough set, and Bayesian classifier

Language: English

Published by VDM Verlag Dr. Müller, 2010

3639225600 / 9783639225600

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Scientists mimicked birds and eventually created airplanes using integration of biological principles and modern science and technology. In recent decades scientists have been trying to simulate intelligence in the brain, in which huge number of neurons forms powerful computing networks to perform intelligent behaviours. This book presented a framework of computing network models for artificial intelligent systems to mimic intelligent behaviours. The models are inspired from some biological principles, and furthermore they have been enhanced using hybrid of current artificial intelligent techniques such as machine learning, neural networks, multi-knowledge, fuzzy logic, rough set, Bayes classifier, and evidence reasoning theory. The key idea of the book is to encourage scientists to take more biological findings to build artificial intelligent systems. More importantly biologically inspired models should be extended to combine current artificial intelligent techniques to achieve high level intelligence in some specific aspects. The book presents a demonstration of the effort in implementation of intelligent behaviours using computing networks.…

Seller Inventory # 9783639225600

Title
Computing Network Model for Intelligent Systems : Hybrid of neural networks, multi-knowledge, fuzzy logic, rough set, and Bayesian classifier
Author
QingXiang Wu
Publisher
VDM Verlag Dr. Müller
Publication year
2010
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3639225600
ISBN 13
9783639225600
Item weight
453 grams
Dimensions
220x150x17 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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