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- Article name
- MODULAR NEURAL NETWORK BP-SOM IN THE TASK OF RULES EXTRACTION
- Authors
- Gridin V. N., , info@ditc.ras.ru, Federal State Institution of Science Center for Information Technology in the Design of Sciences, Moscow, Russia
Solodovnikov V. I., , info@ditc.ras.ru, Center for Information Technology in the Design of RAS, Odintsovo, Moscow region, Russia
Karnakov V. V., , info@ditc.ras.ru, Center for Information Technology in the Design of RAS, Odintsovo, Moscow region, Russia
- Keywords
- neural network / multilayer feedforward network / Kohonen self-organizing maps / modular network BP-SOM / rules extraction
- Year
- 2015 Issue 4 Pages 3 - 7
- Code EDN
- Code DOI
- Abstract
- Data is a valuable resource that keeps a great potential for recovery of the useful analytical information. One of the most promising toolkits to solve the problems of data mining is the use of neural network technology. The questions of construction, training and use of a modular neural network BP-SOM are considered in the article. The features of BP-SOM functioning, methods of rule extraction from trained neural networks and the ways of the result interpretation are presented.
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