| 書目名稱 | Neural Networks in a Softcomputing Framework |
| 編輯 | K. -L. Du,M. N. S. Swamy |
| 視頻video | http://file.papertrans.cn/664/663724/663724.mp4 |
| 概述 | Provides a powerful and universal paradigm for information processing.Provides state-of-the-art descriptions of the important major research results of the respective neural methods.Dicusses array sig |
| 圖書封面 |  |
| 描述 | .Conventional model-based data processing methods are computationally expensive and require experts’ knowledge for the modelling of a system. Neural networks are a model-free, adaptive, parallel-processing solution. This textbook provides a powerful and universal paradigm for information processing; it reviews the most popular neural-network methods and their associated techniques...Each chapter has a systematic survey of each neural-network model. Computational intelligence topics like fuzzy logic and genetic algorithms (tools for neural-network learning) are introduced. Array signal processing problems are used to show the applications of each model...This is an ideal textbook for graduate students and researchers; as well as introducing the basics, the exhaustive list of references included will aid their future research. It is also a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and A.I.. |
| 出版日期 | Textbook 2006 |
| 關鍵詞 | Evolutionary Computation; Fuzzy Systems; Neural Networks; Optimization; Pattern Recognition; Signal Proce |
| 版次 | 1 |
| doi | https://doi.org/10.1007/1-84628-303-5 |
| isbn_softcover | 978-1-84996-574-3 |
| isbn_ebook | 978-1-84628-303-1 |
| copyright | Springer-Verlag London 2006 |
|Archiver|手機版|小黑屋|
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