Foundations of Computational Intelligence Volume 1: Learning and Approximation /

Learning methods and approximation algorithms are fundamental tools that deal with computationally hard problems and problems in which the input is gradually disclosed over time. Both kinds of problems have a large number of applications arising from a variety of fields, such as algorithmic game the...

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Bibliographic Details
Call Number:Libro Electrónico
Corporate Author: SpringerLink (Online service)
Other Authors: Hassanien, Aboul-Ella (Editor), Abraham, Ajith (Editor), Vasilakos, Athanasios V. (Editor), Pedrycz, Witold (Editor)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edition:1st ed. 2009.
Series:Studies in Computational Intelligence, 201
Subjects:
Artificial intelligence.
Engineering mathematics.
Engineering-Data processing.
Artificial Intelligence.
Mathematical and Computational Engineering Applications.
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