Innovations in ART Neural Networks:
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 netwo...
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| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Heidelberg
Physica-Verlag HD
2000
|
| Schriftenreihe: | Studies in Fuzziness and Soft Computing
43 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 Online-Ressource (XII, 258 p) |
| ISBN: | 9783790818574 |
| DOI: | 10.1007/978-3-7908-1857-4 |
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| 520 | |a 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. | ||
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| id | DE-604.BV045149599 |
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| indexdate | 2024-07-10T08:10:04Z |
| institution | BVB |
| isbn | 9783790818574 |
| language | English |
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| physical | 1 Online-Ressource (XII, 258 p) |
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| publisher | Physica-Verlag HD |
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| series2 | Studies in Fuzziness and Soft Computing |
| spelling | Innovations in ART Neural Networks edited by Lakhmi C. Jain, Beatrice Lazzerini, Ugur Halici Heidelberg Physica-Verlag HD 2000 1 Online-Ressource (XII, 258 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 43 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. Computer Science Artificial Intelligence (incl. Robotics) Complexity IT in Business Computer science Information technology Business / Data processing Artificial intelligence Complexity, Computational Jain, Lakhmi C. edt Lazzerini, Beatrice edt Halici, Ugur edt Erscheint auch als Druck-Ausgabe 9783790824698 https://doi.org/10.1007/978-3-7908-1857-4 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Innovations in ART Neural Networks Computer Science Artificial Intelligence (incl. Robotics) Complexity IT in Business Computer science Information technology Business / Data processing Artificial intelligence Complexity, Computational |
| title | Innovations in ART Neural Networks |
| title_auth | Innovations in ART Neural Networks |
| title_exact_search | Innovations in ART Neural Networks |
| title_full | Innovations in ART Neural Networks edited by Lakhmi C. Jain, Beatrice Lazzerini, Ugur Halici |
| title_fullStr | Innovations in ART Neural Networks edited by Lakhmi C. Jain, Beatrice Lazzerini, Ugur Halici |
| title_full_unstemmed | Innovations in ART Neural Networks edited by Lakhmi C. Jain, Beatrice Lazzerini, Ugur Halici |
| title_short | Innovations in ART Neural Networks |
| title_sort | innovations in art neural networks |
| topic | Computer Science Artificial Intelligence (incl. Robotics) Complexity IT in Business Computer science Information technology Business / Data processing Artificial intelligence Complexity, Computational |
| topic_facet | Computer Science Artificial Intelligence (incl. Robotics) Complexity IT in Business Computer science Information technology Business / Data processing Artificial intelligence Complexity, Computational |
| url | https://doi.org/10.1007/978-3-7908-1857-4 |
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