Publication: Use of genetic algorithm to design optimal neural network structure
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Öztürk, Nursel
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Emerald Group Publishing
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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.
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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
Citation
Öztürk, N. (2003). “Use of genetic algorithm to design optimal neural network structure”. Engineering Computations, 20(7-8), 979-997.