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A Divide-and-Conquer Learning Approach to Radial Basis Function Networks

โœ Scribed by YIU-MING CHEUNG; RONG-BO HUANG


Publisher
Springer US
Year
2005
Tongue
English
Weight
335 KB
Volume
21
Category
Article
ISSN
1370-4621

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Financial distress prediction by a radia
โœ Chi-Bin Cheng; Ching-Lung Chen; Chung-Jen Fu ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 778 KB

This paper presents a financial distress prediction model that combines the approaches of neural network learning and logit analysis. This combination can retain the advantages and avoid the disadvantages of the two kinds of approaches in solving such a problem. The radial basis function network (RB