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ISBN: 9783642098390

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Computational Intelligence Paradigms: Innovative Applications Mika Sato-Ilic Editor
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System designers are faced with a large set of data which has to be analysed and processed efficiently. Advanced computational intelligence paradigms present tremendous advantages by offe… More...

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Computational Intelligence Paradigms: Innovative Applications (Studies in Computational Intelligence) - Paperback

2010

ISBN: 3642098398

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Computational Intelligence Paradigms: Innovative Applications (Studies in Computational Intelligence) - Paperback

2010, ISBN: 3642098398

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Computational Intelligence Paradigms: Innovative Applications (Studies in Computational Intelligence) - Paperback

2010, ISBN: 3642098398

[EAN: 9783642098390], [PU: Springer], Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that do… More...

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Computational Intelligence Paradigms: Innovative Applications Mika Sato-Ilic Editor
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ISBN:

9783642098390


System designers are faced with a large set of data which has to be analysed and processed efficiently. Advanced computational intelligence paradigms present tremendous advantages by offering capabilities such as learning, generalisation and robustness. These capabilities help in designing complex systems which are intelligent and robust.The book includes a sample of research on the innovative applications of advanced computational intelligence paradigms. The characteristics of computational intelligence paradigms such as learning, generalization based on learned knowledge, knowledge extraction from imprecise and incomplete data are the extremely important for the implementation of intelligent machines. The chapters include architectures of computational intelligence paradigms, knowledge discovery, pattern classification, clusters, support vector machines and gene linkage analysis. We believe that the research on computational intelligence will simulate great interest among designers and researchers of complex systems. It is important to use the fusion of various constituents of computational intelligence to offset the demerits of one paradigm by the merits of another.

Details of the book - Computational Intelligence Paradigms: Innovative Applications Mika Sato-Ilic Editor


EAN (ISBN-13): 9783642098390
ISBN (ISBN-10): 3642098398
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer Berlin Heidelberg Core >1
292 Pages
Weight: 0,445 kg
Language: eng/Englisch

Book in our database since 2011-01-04T12:15:45+00:00 (London)
Detail page last modified on 2024-02-24T04:14:19+00:00 (London)
ISBN/EAN: 9783642098390

ISBN - alternate spelling:
3-642-09839-8, 978-3-642-09839-0
Alternate spelling and related search-keywords:
Book author: sato, balas, canicio, valentina

Information from Publisher

Author: Mika Sato-Ilic; Maria Virvou; George A Tsihrintzis; Valentina Emilia Balas; Canicious Abeynayake
Title: Studies in Computational Intelligence; Computational Intelligence Paradigms - Innovative Applications
Publisher: Springer; Springer Berlin
281 Pages
Publishing year: 2010-11-30
Berlin; Heidelberg; DE
Printed / Made in
Language: English
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
VIII, 281 p.

BC; Hardcover, Softcover / Technik/Allgemeines, Lexika; Mathematik für Ingenieure; Verstehen; algorithm; algorithms; architecture; calculus; classification; cluster analysis; complex systems; computational intelligence; fuzzy; genetic algorithms; intelligence; knowledge; knowledge discovery; learning; linear optimization; Mathematical and Computational Engineering Applications; Artificial Intelligence; Künstliche Intelligenz; BB

An Introduction to Computational Intelligence Paradigms.- A Quest for Adaptable and Interpretable Architectures of Computational Intelligence.- MembershipMap: A Data Transformation for Knowledge Discovery Based on Granulation and Fuzzy Membership Aggregation.- Advanced Developments and Applications of the Fuzzy ARTMAP Neural Network in Pattern Classification.- Large Margin Methods for Structured Output Prediction.- Ensemble MLP Classifier Design.- Functional Principal Points and Functional Cluster Analysis.- Clustering with Size Constraints.- Cluster Validating Techniques in the Presence of Duplicates.- Fuzzy Blocking Regression Models.- Support Vector Machines and Features for Environment Perception in Mobile Robotics.- Linkage Analysis in Genetic Algorithms.
Presents innovative applications of advanced computational intelligence paradigms
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