书目名称 | Soft Computing for Recognition based on Biometrics |
编辑 | Patricia Melin,Janusz Kacprzyk,Witold Pedrycz |
视频video | http://file.papertrans.cn/871/870488/870488.mp4 |
概述 | Recent research in Soft Computing for Recognition based on Biometrics.Carefully edited book.Written by experts in the field |
丛书名称 | Studies in Computational Intelligence |
图书封面 |  |
描述 | We describe in this book, bio-inspired models and applications of hybrid intel- gent systems using soft computing techniques for image analysis and pattern r- ognition based on biometrics and other information sources. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of classification methods and applications, which are basically papers that propose new models for classification to solve general pr- lems and applications. The second part contains papers with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques, like modular neural networks, for achieving pattern r- ognition based on biometric measures. The third part contains papers with the theme of bio-inspired optimization methods and applications to diverse problems. The fourth part contains papers that deal with general theory and algorit |
出版日期 | Book 2010 |
关键词 | Computational Intelligence; Recognition; Soft Computing; algorithms; biometrics; classification; cognition |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-642-15111-8 |
isbn_softcover | 978-3-642-26511-2 |
isbn_ebook | 978-3-642-15111-8Series ISSN 1860-949X Series E-ISSN 1860-9503 |
issn_series | 1860-949X |
copyright | Springer Berlin Heidelberg 2010 |