| 书目名称 | Foundations of Computational Intelligence Volume 5 |
| 副标题 | Function Approximati |
| 编辑 | Ajith Abraham,Aboul-Ella Hassanien,Václav Snášel |
| 视频video | |
| 概述 | Fifth volume of a Reference work on the foundations of Computational Intelligence.Devoted to Function Approximation and Classification |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | 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. The Volume is divided into 2 parts: Part-I: Function Approximation and Classification – Theoretical Foundations Part-II: Function Approximation and Classification – Success Stories and Real World Applications Part I on Function Approximation and Classification – Theoretical Fo |
| 出版日期 | Book 2009 |
| 关键词 | Extension; Function Approximation; algorithm; algorithms; approximation theory; classification; computatio |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-01536-6 |
| isbn_softcover | 978-3-642-42439-7 |
| isbn_ebook | 978-3-642-01536-6Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2009 |
发表于 2025-3-21 18:11:45
