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http://hdl.handle.net/11452/25915
Title: | Use of genetic algorithm to design optimal neural network structure |
Authors: | Uludağ Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü. Öztürk, Nursel AAG-9336-2021 7005688805 |
Keywords: | Computer science Engineering Mathematics Mechanics Mathematical modelling Programming and algorithm theory Neural nets Feature recognition Manufacturing features Optimization Search Classification System Models Artificial intelligence Backpropagation Computational complexity Design Feature extraction Learning systems Manufacture Mathematical models Mathematical programming Multilayer neural networks Genetic input selection method Neural network structure Genetic algorithms |
Issue Date: | 2003 |
Publisher: | Emerald Group Publishing |
Citation: | Öztürk, N. (2003). “Use of genetic algorithm to design optimal neural network structure”. Engineering Computations, 20(7-8), 979-997. |
Abstract: | In this research, neural network (NN) and genetic algorithm (GA) are used together to design optimal NN structure. The proposed approach combines the characteristics of GA and NN to reduce the computational complexity of artificial intelligence applications in design and manufacturing. Genetic input selection approach is introduced to obtain optimal NN topology. Experimental results are given to evaluate the performance of the proposed system. |
URI: | https://doi.org/10.1108/02644400310502982 https://www.emerald.com/insight/content/doi/10.1108/02644400310502982/full/html http://hdl.handle.net/11452/25915 |
ISSN: | 0264-4401 |
Appears in Collections: | Scopus Web of Science |
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