Piecewise-Linear Neural Network – Possible Training Algorithms Efficiency Comparison
In this article, a benchmark of algorithms for training of piecewise-linear artificial neural networks is introduced. At first, motivation of this article is described for a special topology of the neural network is used. This topology can be advantageously used in system control design, but it is...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
VSB-Technical University of Ostrava
2013-12-01
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| Series: | Transactions of the VSB : Technical University of Ostrava |
| Subjects: | |
| Online Access: | http://transactions.fs.vsb.cz/2013-2/1965.pdf |
| Summary: | In this article, a benchmark of algorithms for training of piecewise-linear artificial neural
networks is introduced. At first, motivation of this article is described for a special topology of the
neural network is used. This topology can be advantageously used in system control design, but it is
difficult problem to train it. In this article, there is described a set of possible training algorithms,
these algorithms are tested and evaluated. Benchmarking data are based on real problems. |
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| ISSN: | 1210-0471 1804-0993 |