산업경영시스템학회지 (Journal of Korean Society of Industrial and Systems Engineering)
- 제19권39호
- /
- Pages.47-61
- /
- 1996
- /
- 2005-0461(pISSN)
- /
- 2287-7975(eISSN)
LVQ와 ADALINE을 이용한 학습 알고리듬
Learning Algorithm using a LVQ and ADALINE
초록
We propose a parallel neural network model in which patterns are clustered and patterns in a cluster are studied in a parallel neural network. The learning algorithm used in this paper is based on LVQ algorithm of Kohonen(1990) for clustering and ADALINE(Adaptive Linear Neuron) network of Widrow and Hoff(1990) for parallel learning. The proposed algorithm consists of two parts. First, N patterns to be learned are categorized into C clusters by LVQ clustering algorithm. Second, C patterns that was selected from each cluster of C are learned as input pattern of ADALINE(Adaptive Linear Neuron). Data used in this paper consists of 250 patterns of ASCII characters normalized into
키워드