title: Extension neural network and its applications.
abstract: In this paper, a novel extension neural network (ENN) is proposed. This new neural network is a combination of extension theory and neural network. It uses an extension distance (ED) to measure the similarity between data and cluster center. The learning speed of the proposed ENN is shown to be faster than the traditional neural networks and other fuzzy classification methods. Moreover, the new scheme has been proved to have high accuracy and less memory consumption. Experimental results from two different examples verify the effectiveness and applicability of the proposed work.
authors.affiliation: Department of Electrical Engineering, National Chin-Yi Institute of Technology, 35, 215 Lane, Sec. 1, Chung Shan Road, Taiping, Taichung, Taiwan, ROC. wangmh@chinyi.ncit.edu.tw
authors.forename: M H
authors.initials: MH
authors.lastname: Wang
authors.forename: C P
authors.initials: CP
authors.lastname: Hung
mesh_terms: D016571:Neural Networks, Computer