文件名称:SOINN
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Self-Organizing Incremental Neural Network is an
Neural Network model for incremental or on-line
learning. It is proposed by Dr. Furao Shen and Osamu
Hasegawa in 2006: Shen Furao & Osamu Hasegawa, "An
Incremental Network for On-line Unsupervised Classification
and Topology Learning," Neural Networks, vol. 19, pp.90-
106, 2006. SOINN has been applied to Active Learning,
Transfer Learning, Associative Memory and some other fields
in rencent years. Some more advanced readings can be found
in http://cs.nju.edu.cn/rinc/. If you have any problems
please contact the author: frshen@nju.edu.cn.
Neural Network model for incremental or on-line
learning. It is proposed by Dr. Furao Shen and Osamu
Hasegawa in 2006: Shen Furao & Osamu Hasegawa, "An
Incremental Network for On-line Unsupervised Classification
and Topology Learning," Neural Networks, vol. 19, pp.90-
106, 2006. SOINN has been applied to Active Learning,
Transfer Learning, Associative Memory and some other fields
in rencent years. Some more advanced readings can be found
in http://cs.nju.edu.cn/rinc/. If you have any problems
please contact the author: frshen@nju.edu.cn.
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下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| SOINN发布\demo.m | 959 | 2013-10-24 |
| SOINN发布\fastSOINN.m | 5078 | 2013-10-25 |
| SOINN发布\readme.txt | 2410 | 2013-10-25 |
| SOINN发布\train.mat | 786592 | 2013-10-24 |
| SOINN发布 | 0 | 2013-10-25 |