Yayın: Use of genetic algorithm to design optimal neural network structure
Tarih
Kurum Yazarları
Öztürk, Nursel
Yazarlar
Danışman
Dil
Türü
Yayıncı:
Emerald Group Publishing
Dergi Başlığı
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Cilt Başlığı
Özet
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.
Açıklama
Kaynak:
Anahtar Kelimeler:
Konusu
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
Alıntı
Öztürk, N. (2003). “Use of genetic algorithm to design optimal neural network structure”. Engineering Computations, 20(7-8), 979-997.