Affiliation:
1. Information Science Laboratory, Tokai University, 1117 Kitakaname Hiratsuka Kanagawa 259-1292, Japan
Abstract
In this paper, we extend our greedy network-growing algorithm to multi-layered networks. With multi-layered networks, we can solve many complex problems that single-layered networks fail to solve. In addition, the network-growing algorithm is used in conjunction with teacher-directed learning that produces appropriate outputs without computing errors between targets and outputs. Thus, the present algorithm is a very efficient network-growing algorithm. The new algorithm was applied to three problems: the famous vertical-horizontal lines detection problem, a medical data problem and a road classification problem. In all these cases, experimental results confirmed that the method could solve problems that single-layered networks failed to. In addition, information maximization makes it possible to extract salient features in input patterns.
Publisher
World Scientific Pub Co Pte Lt
Subject
Computer Networks and Communications,General Medicine
Cited by
3 articles.
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