Comparison Study on Using of BP and Genetic NN for Digital Logic Circuit Application | ||
| Journal of Engineering and Sustainable Development | ||
| Article 1, Volume 16, Issue 1, March 2012, Pages 152-163 | ||
| Authors | ||
| Anas Ali Hussien; Raaed Khalid Ibrahem Al-Azzawi | ||
| Abstract | ||
| Neural networks are facing many problems when they employ a back propagation algorithm. There problems are characterized by long training tome and trapping the network into local minima. For these reasons the trend, in the recent years, started toward the application of the genetic algorithm because of its ability to discover wide and complex search spaces. In the present work a number of comparisons between BP and GA have been carried out. The results regarding training speed and performance, show that GA is more suitable than BP for training neural networks (ANN).with respect to results obtained, a novel approach for designing a multiplayer artificial neural network system has been introduced and implemented. The new system uses GA for updating and modification of the architecture and weight coefficients of the neural network. | ||
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