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.