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Computational Intelligence Systems and Applications - Neuro-Fuzzy and Fuzzy Neural Synergisms (Paperback, Softcover reprint of the original 1st ed. 2002) Loot Price: R3,715
Discovery Miles 37 150
Computational Intelligence Systems and Applications - Neuro-Fuzzy and Fuzzy Neural Synergisms (Paperback, Softcover reprint of...

Computational Intelligence Systems and Applications - Neuro-Fuzzy and Fuzzy Neural Synergisms (Paperback, Softcover reprint of the original 1st ed. 2002)

Marian B. Gorzalczany

Series: Studies in Fuzziness and Soft Computing, 86

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Loot Price R3,715 Discovery Miles 37 150 | Repayment Terms: R348 pm x 12*

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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."

General

Imprint: Physica Verlag,Wien
Country of origin: Austria
Series: Studies in Fuzziness and Soft Computing, 86
Release date: August 2012
First published: 2002
Authors: Marian B. Gorzalczany
Dimensions: 235 x 155 x 19mm (L x W x T)
Format: Paperback
Pages: 364
Edition: Softcover reprint of the original 1st ed. 2002
ISBN-13: 978-3-662-00334-3
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-662-00334-1
Barcode: 9783662003343

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