| 书目名称 | Neuro-Fuzzy and Fuzzy-Neural Applications in Telecommunications |
| 编辑 | Peter Stavroulakis |
| 视频video | |
| 概述 | First book on neuro-fuzzy applications in the communications area.Includes supplementary material: |
| 丛书名称 | Signals and Communication Technology |
| 图书封面 |  |
| 描述 | Neurofuzzy and fuzzyneural techniques as tools of studying and analyzing complex problems are relatively new even though neural networks and fuzzy logic systems have been applied as computational intelligence structural e- ments for the last 40 years. Computational intelligence as an independent sci- tific field has grown over the years because of the development of these str- tural elements. Neural networks have been revived since 1982 after the seminal work of J. J. Hopfield and fuzzy sets have found a variety of applications since the pub- cation of the work of Lotfi Zadeh back in 1965. Artificial neural networks (ANN) have a large number of highly interconnected processing elements that usually operate in parallel and are configured in regular architectures. The c- lective behavior of an ANN, like a human brain, demonstrates the ability to learn,recall,and generalize from training patterns or data. The performance of neural networks depends on the computational function of the neurons in the network,the structure and topology of the network,and the learning rule or the update rule of the connecting weights. This concept of trainable neural n- works further strengthens the idea |
| 出版日期 | Book 2004 |
| 关键词 | Tracking; coding; cognition; communication; control; fuzzy; fuzzy logic; fuzzy system; image processing; lear |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-18762-9 |
| isbn_softcover | 978-3-642-62281-6 |
| isbn_ebook | 978-3-642-18762-9Series ISSN 1860-4862 Series E-ISSN 1860-4870 |
| issn_series | 1860-4862 |
| copyright | Springer-Verlag Berlin Heidelberg 2004 |
发表于 2025-3-21 19:16:06
