DocumentCode
2029721
Title
A robust model based on space-partitioning method
Author
Zhang, Liming ; Fan, Weiping
Author_Institution
Dept. of Electr. Eng., Fudan Univ., Shanghai, China
Volume
3
fYear
1999
fDate
1999
Firstpage
992
Abstract
A new model, called the space-partitioning multilayer perceptron (SP-MLP), is proposed in this paper to resolve classification problems. The number of first-hidden-layer units is determined adaptively, and we introduce a new sub-algorithm to improve the robustness of the network. The results of experiments show that the SP-MLP is more robust than other models. The issue of generalization is also discussed in this paper
Keywords
generalisation (artificial intelligence); multilayer perceptrons; pattern classification; adaptive determination; classification problems; first-hidden-layer units; generalization; robust model; robustness-enhancing sub-algorithm; space-partitioning algorithm; space-partitioning multilayer perceptron; two-spirals problem; Analytical models; Convergence; Handwriting recognition; Multilayer perceptrons; Neural networks; Neurons; Partial response channels; Partitioning algorithms; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-5871-6
Type
conf
DOI
10.1109/ICONIP.1999.844671
Filename
844671
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