Computational Intelligence Systems and Applications : Neuro-Fuzzy and Fuzzy Neural Synergisms

Language: English

Published by Physica, 2012

3662003341 / 9783662003343

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

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nach der Bestellung gedruckt Neuware - Printed after ordering - Traditional Artificial Intelligence (AI) systems adopted symbolic processing as their main paradigm. Symbolic AI systems have proved effective in handling problems characterized by exact and complete knowledge representation. Unfortunately, these systems have very little power in dealing with imprecise, uncertain and incomplete data and information which significantly contribute to the description of many real world problems, both physical systems and processes as well as mechanisms of decision making. Moreover, there are many situations where the expert domain knowledge (the basis for many symbolic AI systems) is not sufficient for the design of intelligent systems, due to incompleteness of the existing knowledge, problems caused by different biases of human experts, difficulties in forming rules, etc. In general, problem knowledge for solving a given problem can consist of an explicit knowledge (e.g., heuristic rules provided by a domain an implicit, hidden knowledge 'buried' in past-experience expert) and numerical data. A study of huge amounts of these data (collected in databases) and the synthesizing of the knowledge 'encoded' in them (also referred to as knowledge discovery in data or data mining), can significantly improve the performance of the intelligent systems designed.…

Seller Inventory # 9783662003343

Title
Computational Intelligence Systems and Applications : Neuro-Fuzzy and Fuzzy Neural Synergisms
Author
Marian B. Gorzalczany
Publisher
Physica
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3662003341
ISBN 13
9783662003343
Item weight
569 grams
Dimensions
235x155x21 mm

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