Published May 1, 2014
| Version v1
Journal article
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OPTIMIZATION OF ANN-TRAINING GEOMETRIC ALGORITHM IN INDEPENDENT COMPONENT ANALYSIS (ICA)
Authors/Creators
- 1. software developer, Yandex
- 2. Doctor of Science in Physics and Mathematics, professor, head of the Physics of semiconductors and microelectronics department, Faculty of Physics, Voronezh State University
- 3. Candidate of Science in in Engineering, associate professor of the Physics of semiconductors and microelectronics department, Faculty of Physics, Voronezh State University
- 4. graduate of the Physics of semiconductors and microelectronics department, Faculty of Physics, Voronezh State University
Description
One of the most actual tasks of information processing today is the problem of separating a mixture of several sources of signals. Moreover, the solution requires the on-line processing mode. With this task successfully cope artificial neural networks (ANN). But for stable operation of the system, the ANN require training on specific algorithms. This article discusses a modification one of ANN-training geometric algorithms - histGEO.
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