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MULTI-LAYERED GREEDY NETWORK-GROWING ALGORITHM:: EXTENSION OF GREEDY NETWORK-GROWING ALGORITHM TO MULTI-LAYERED NETWORKS.
- Source :
-
International Journal of Neural Systems . Feb2004, Vol. 14 Issue 1, p9-26. 18p. - Publication Year :
- 2004
-
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]
Details
- Language :
- English
- ISSN :
- 01290657
- Volume :
- 14
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- International Journal of Neural Systems
- Publication Type :
- Academic Journal
- Accession number :
- 13046899
- Full Text :
- https://doi.org/10.1142/S012906570400184X