1. MULTI-LAYERED GREEDY NETWORK-GROWING ALGORITHM:: EXTENSION OF GREEDY NETWORK-GROWING ALGORITHM TO MULTI-LAYERED NETWORKS.
- Author
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KAMIMURA, RYOTARO
- Subjects
- *
ALGORITHMS , *MATHEMATICAL models , *INFORMATION science , *INFORMATION theory , *INFORMATION storage & retrieval systems , *COMPUTER programming - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2004
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