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Foundations of Computational Intelligence Volume 5 Function Approximation and Classification
Free Download Foundations of Computational Intelligence Volume 5: Function Approximation and Classification by Ajith Abraham, Aboul-Ella Hassanien, Václav SnášelEnglish | PDF | 2009 | 378 Pages | ISBN : 3642015352 | 5.9 MB
Foundations of Computational Intelligence Volume 5: Function Approximation and Classification Approximation theory is that area of analysis which is concerned with the ability to approximate functions by simpler and more easily calculated functions. It is an area which, like many other fields of analysis, has its primary roots in the mat- matics. The need for function approximation and classification arises in many branches of applied mathematics, computer science and data mining in particular. This edited volume comprises of 14 chapters, including several overview Ch- ters, which provides an up-to-date and state-of-the art research covering the theory and algorithms of function approximation and classification. Besides research ar- cles and expository papers on theory and algorithms of function approximation and classification, papers on numerical experiments and real world applications were also encouraged.
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