| Residential College | false |
| Status | 已發表Published |
| A new adaptive self-organizing map | |
| Weng S.; Wong F.; Zhang C. | |
| 2004-12-01 | |
| Source Publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
 |
| ISSN | 03029743 16113349 |
| Volume | 3173Pages:205-210 |
| Abstract | The self-organizing map (SOM) method developed by Kohonen is a powerful tool for visualizing high-dimensional datasets. To improve the adaptability of SOM, this paper proposes a new model based on Kohenen SOM. The new model has integrated a series of evolutionary working mechanisms of neurons. The microcosmic analysis gives the reason that those introduced mechanisms can conquer the problems of instability in competitive learning. The empirical evidences show the performance of the proposed model. © Springer-Verlag 2004. |
| URL | View the original |
| Language | 英語English |
| Fulltext Access | |
| Document Type | Journal article |
| Collection | University of Macau |
| Affiliation | Tsinghua University |
| Recommended Citation GB/T 7714 | Weng S.,Wong F.,Zhang C.. A new adaptive self-organizing map[J]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004, 3173, 205-210. |
| APA | Weng S.., Wong F.., & Zhang C. (2004). A new adaptive self-organizing map. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3173, 205-210. |
| MLA | Weng S.,et al."A new adaptive self-organizing map".Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3173(2004):205-210. |
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