| 書目名稱 | Classification and Learning Using Genetic Algorithms | | 副標(biāo)題 | Applications in Bioi | | 編輯 | Sanghamitra Bandyopadhyay,Sankar K. Pal | | 視頻video | http://file.papertrans.cn/228/227203/227203.mp4 | | 概述 | First book to provide a unified framework that describes how genetic learning can be used to design pattern recognition systems.Includes supplementary material: | | 叢書名稱 | Natural Computing Series | | 圖書封面 |  | | 描述 | .This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. The book is unique in the sense of describing how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries, and it demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks. It provides a balanced mixture of theories, algorithms and applications, and in particular results from the bioinformatics and Web intelligence domains...This book will be useful to graduate students and researchers in computer science, electrical engineering, systems science, and information technology, both as a text and reference book. Researchers and practitioners in industry working in system design, control, pattern recognition, data mining, soft computing, bioinformatics and Web intelligence will also benefit.. | | 出版日期 | Book 2007 | | 關(guān)鍵詞 | Bioinformatics; DOM; Evolutionary computation; Machine learning; Pattern recognition; Variable; Web mining | | 版次 | 1 | | doi | https://doi.org/10.1007/3-540-49607-6 | | isbn_softcover | 978-3-642-08054-8 | | isbn_ebook | 978-3-540-49607-6Series ISSN 1619-7127 Series E-ISSN 2627-6461 | | issn_series | 1619-7127 | | copyright | Springer-Verlag Berlin Heidelberg 2007 |
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