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Zong, N. and Hong, X. 
ORCID: https://orcid.org/0000-0002-6832-2298
(2007)
A multi-level probabilistic neural network.
Lecture Notes in Computer Science, 4492.
pp. 516-525.
ISSN 0302-9743
9783540723929
Abstract/Summary
Based on the idea of an important cluster, a new multi-level probabilistic neural network (MLPNN) is introduced. The MLPNN uses an incremental constructive approach, i.e. it grows level by level. The construction algorithm of the MLPNN is proposed such that the classification accuracy monotonically increases to ensure that the classification accuracy of the MLPNN is higher than or equal to that of the traditional PNN. Numerical examples are included to demonstrate the effectiveness of proposed new approach.
| Additional Information | Proceedings Paper 4th International Symposium on Neural Networks (ISNN 2007) JUN 03-07, 2007 Nanjing, PEOPLES R CHINA |
| Item Type | Article |
| URI | https://reading-clone.eprints-hosting.org/id/eprint/15501 |
| Item Type | Article |
| Refereed | Yes |
| Divisions | Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science |
| Uncontrolled Keywords | STOCHASTIC DISCRIMINATION, CLASSIFICATION, CLASSIFIERS |
| Additional Information | Proceedings Paper 4th International Symposium on Neural Networks (ISNN 2007) JUN 03-07, 2007 Nanjing, PEOPLES R CHINA |
| Download/View statistics | View download statistics for this item |
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