| 书目名称 | Neural Information Processing: Research and Development |
| 编辑 | Jagath Chandana Rajapakse,Lipo Wang |
| 视频video | |
| 概述 | Careful collection of recent research and developments in neural information processing.Includes supplementary material: |
| 丛书名称 | Studies in Fuzziness and Soft Computing |
| 图书封面 |  |
| 描述 | The field of neural information processing has two main objects: investigation into the functioning of biological neural networks and use of artificial neural networks to sol ve real world problems. Even before the reincarnation of the field of artificial neural networks in mid nineteen eighties, researchers have attempted to explore the engineering of human brain function. After the reincarnation, we have seen an emergence of a large number of neural network models and their successful applications to solve real world problems. This volume presents a collection of recent research and developments in the field of neural information processing. The book is organized in three Parts, i.e., (1) architectures, (2) learning algorithms, and (3) applications. Artificial neural networks consist of simple processing elements called neurons, which are connected by weights. The number of neurons and how they are connected to each other defines the architecture of a particular neural network. Part 1 of the book has nine chapters, demonstrating some of recent neural network architectures derived either to mimic aspects of human brain function or applied in some real world problems. Muresan provi |
| 出版日期 | Book 2004 |
| 关键词 | algorithm; algorithms; architecture; artificial neural network; control; development; genetic algorithms; k |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-39935-3 |
| isbn_softcover | 978-3-642-53564-2 |
| isbn_ebook | 978-3-540-39935-3Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer-Verlag Berlin Heidelberg 2004 |
发表于 2025-3-21 18:38:38
