대한전기학회논문지 (The Transactions of the Korean Institute of Electrical Engineers)
- 제41권5호
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- Pages.533-540
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- 1992
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- 0254-4172(pISSN)
자기 분열 및 구조화 신경회로망
A Self Creating and Organizing Neural Network
초록
The Self Creating and Organizing (SCO) is a new architecture and one of the unsupervized learning algorithm for the artificial neural network. SCO begins with only one output node which has a sufficiently wide response range, and the response ranges of all the nodes decrease automatically whether adapting the weights of existing node or creating a new node. It is compared to the Kohonen's Self Organizing Feature Map (SOFM). The results show that SCONN has lots of advantages over other competitive learning architecture.
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