| Status | 已發表Published |
| Evolutionary mechanisms in self-organizing map | |
| Weng S.-F.; Wong F.; Zhang C.-S. | |
| 2003-12-01 | |
| Source Publication | International Conference on Machine Learning and Cybernetics
 |
| Volume | 4 |
| Pages | 2020-2024 |
| Abstract | In this paper a new model of self-organizing neural networks is proposed, which has realized the ability to project data from high dimensional space into low dimensional space, as well as to facilitate the visual inspection in the inherent topological structure of the projected data. In this model, a series of evolutionary working mechanisms of neurons have been introduced to overcome the weakness of conventional learning algorithm. The empirical evidences show the proposed algorithm is adaptive and robust. This work can be viewed as a development of classic Kohonen self-organizing feature map. |
| Keyword | Evolutionary mechanisms Neural Network SOM |
| URL | View the original |
| Language | 英語English |
| Fulltext Access | |
| Document Type | Conference paper |
| Collection | University of Macau |
| Affiliation | Tsinghua University |
| Recommended Citation GB/T 7714 | Weng S.-F.,Wong F.,Zhang C.-S.. Evolutionary mechanisms in self-organizing map[C], 2003, 2020-2024. |
| APA | Weng S.-F.., Wong F.., & Zhang C.-S. (2003). Evolutionary mechanisms in self-organizing map. International Conference on Machine Learning and Cybernetics, 4, 2020-2024. |
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