제어로봇시스템학회:학술대회논문집
- 1991.10a
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- Pages.768-772
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- 1991
A self creating and organizing neural network
자기 분열 및 구조화 신경 회로망
Abstract
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 with time. Self Creating and Organizing Neural Network (SCONN) decides 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.
Keywords