AI Bibliography
AI Bibliography |
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Brester, C., Semenkin, E., & others. (2013). Development of adaptive genetic algorithms for neural network models multicriteria design. Вестник СибГАУ, (4), 99. |
| Resource type: Journal Article BibTeX citation key: Brester2013 View all bibliographic details  |
Categories: Artificial Intelligence, Biological Science, Complexity Science, Computer Science, Data Sciences, Decision Theory, General Subcategories: Big data, Informatics, Machine learning, Machine recognition Creators: Brester, others, Semenkin Publisher: Collection: Вестник СибГАУ |
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| Abstract |
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In this paper modifications of single- and multi-objective genetic algorithms are described and testing results of these approaches are presented. The gist of the algorithms is the use of the self- adaptation idea leading to reducing of the expert significance for the algorithm setting and expanding of GAs’ application capabilities. On the basis of offered methods the program system realizing the technique for neural network models design was developed. The effectiveness of all algorithms was investigated on a set of test problems. |