| 书目名称 | Knowledge-Based Neurocomputing: A Fuzzy Logic Approach |
| 编辑 | Eyal Kolman,Michael Margaliot |
| 视频video | http://file.papertrans.cn/545/544218/544218.mp4 |
| 概述 | Presents the state of the art in knowledge-based neurocomputing.Presents a new connection between artificial neural networks (ANNs) and a special fuzzy rule-base - the all permutations fuzzy rule-base |
| 丛书名称 | Studies in Fuzziness and Soft Computing |
| 图书封面 |  |
| 描述 | .In this monograph, the authors introduce a novel fuzzy rule-base, referred to as the .Fuzzy All-permutations Rule-Base (FARB).. They show that inferring the FARB, using standard tools from fuzzy logic theory, yields an input-output map that is mathematically equivalent to that of an artificial neural network. Conversely, every standard artificial neural network has an equivalent FARB. ..The FARB-ANN equivalence integrates the merits of symbolic fuzzy rule-bases and sub-symbolic artificial neural networks, and yields a new approach for .knowledge-based neurocomputing. in artificial neural networks.. |
| 出版日期 | Book 2009 |
| 关键词 | All-Permutations Fuzzy Rule Base; Equivalence; Fuzzy; Fuzzy Rule-Based Systems; Knowedge Refinement; Know |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-88077-6 |
| isbn_softcover | 978-3-642-09985-4 |
| isbn_ebook | 978-3-540-88077-6Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer-Verlag Berlin Heidelberg 2009 |
|Archiver|手机版|小黑屋|
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