This report introduces a self-organized network with a supervisor for data clustering and recognition. The network consists of a self-organized module and a supervised module. The self-organized module has been mainly controlled by the information of input data. However, the proposed module is also trained by a supervised learning. The supervised learning is applied to the supervised module first and then it is also applied to the self-organized module in order to realize higher generality and higher accuracy than conventional neural networks.
|Number of pages||4|
|Journal||Proceedings - IEEE International Symposium on Circuits and Systems|
|Publication status||Published - 1995|
|Event||Proceedings of the 1995 IEEE International Symposium on Circuits and Systems-ISCAS 95. Part 3 (of 3) - Seattle, WA, USA|
Duration: Apr 30 1995 → May 3 1995
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering