Синтез нейронних мереж на основі еволюційної оптимізації

The evolutionary approach for neural network structural synthesis is considered in this paper. The new method of multimodal evolutionary search with a chromosome clustering is offered. The developed method is based on the idea of simultaneous search of several optimums, thus chromosomes are grouped...

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Bibliographic Details
Date:2015
Main Authors: Oliinyk, A. A., Subbotin, S. A.
Format: Article
Language:English
Published: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2015
Online Access:http://journal.iasa.kpi.ua/article/view/43459
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Journal Title:System research and information technologies

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System research and information technologies
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Summary:The evolutionary approach for neural network structural synthesis is considered in this paper. The new method of multimodal evolutionary search with a chromosome clustering is offered. The developed method is based on the idea of simultaneous search of several optimums, thus chromosomes are grouped in clusters on their arrangement in a search space. So stable subpopulations in different clusters are formed, diversity of search is provided, and convergence to different local minima is reached that allows to find closer to optimal architectures of neural networks. Software implementing proposed method is developed. The experiments with proposed method in practical problem solving were conducted.