| 書(shū)目名稱(chēng) | Innovations in ART Neural Networks | | 編輯 | Lakhmi C. Jain,Beatrice Lazzerini,Ugur Halici | | 視頻video | http://file.papertrans.cn/468/467027/467027.mp4 | | 叢書(shū)名稱(chēng) | Studies in Fuzziness and Soft Computing | | 圖書(shū)封面 |  | | 描述 | In the last two decades the artificial neural networks have been refined and widely used by the researchers and application engineers. We have not witnessed such a large degree of evolution in any other artificial neural network as in the Adaptive Resonance Theory (ART) neural network. The ART network remains plastic, or adaptive, in response to significant events and yet remains stable in response to irrelevant events. This stability-plasticity property is a great step towards realizing intelligent machines capable of autonomous learning in real time environment..The main aim of this book is to report a very small sample of the research on the evolution of ART neural network and its applications. Interested readers may refer literature for many more innovations in ART such as Fuzzy ART, ART2, ART2-a, ARTMAP, ARTMAP-PI, ARTMAP-DS, Gaussian ARTMAP, EXACT ART, and ART-EMAP. | | 出版日期 | Book 2000 | | 關(guān)鍵詞 | Adaptive Resonance Theory; Extension; Fuzzy Logik; Mapping; algorithms; artificial neural network; evoluti | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-7908-1857-4 | | isbn_softcover | 978-3-7908-2469-8 | | isbn_ebook | 978-3-7908-1857-4Series ISSN 1434-9922 Series E-ISSN 1860-0808 | | issn_series | 1434-9922 | | copyright | Springer-Verlag Berlin Heidelberg 2000 |
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