Comparison Study on Using of BP and Genetic NN for Digital Logic Circuit Application
Neural networks are facing many problems when they employ a backpropagation algorithm. These problems are characterized by long training time and trapping the network into local minima. For these reasons the trend, in recent years, started toward the application of the genetic algorithm because of...
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| Format: | Article |
| Language: | Arabic |
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Mustansiriyah University/College of Engineering
2012-03-01
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| Series: | Journal of Engineering and Sustainable Development |
| Subjects: | |
| Online Access: | https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/1168 |
| _version_ | 1817976188363079680 |
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| author | Raaed Khalid Ibrahem Al-Azzawi Anas Ali Hussien |
| author_facet | Raaed Khalid Ibrahem Al-Azzawi Anas Ali Hussien |
| author_sort | Raaed Khalid Ibrahem Al-Azzawi |
| collection | DOAJ |
| description |
Neural networks are facing many problems when they employ a backpropagation algorithm. These problems are characterized by long training time and trapping the network into local minima. For these reasons the trend, in 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 the 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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| first_indexed | 2024-04-13T21:59:15Z |
| format | Article |
| id | doaj.art-6ba1a0658ebb44ea93d71ff99a807013 |
| institution | Directory Open Access Journal |
| issn | 2520-0917 2520-0925 |
| language | Arabic |
| last_indexed | 2024-04-13T21:59:15Z |
| publishDate | 2012-03-01 |
| publisher | Mustansiriyah University/College of Engineering |
| record_format | Article |
| series | Journal of Engineering and Sustainable Development |
| spelling | doaj.art-6ba1a0658ebb44ea93d71ff99a8070132022-12-22T02:28:08ZaraMustansiriyah University/College of EngineeringJournal of Engineering and Sustainable Development2520-09172520-09252012-03-01161Comparison Study on Using of BP and Genetic NN for Digital Logic Circuit ApplicationRaaed Khalid Ibrahem Al-AzzawiAnas Ali Hussien Neural networks are facing many problems when they employ a backpropagation algorithm. These problems are characterized by long training time and trapping the network into local minima. For these reasons the trend, in 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 the 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. https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/1168genetic algorithmfeed forward networkReinforcement learningDigital Logic Circuitback propagation |
| spellingShingle | Raaed Khalid Ibrahem Al-Azzawi Anas Ali Hussien Comparison Study on Using of BP and Genetic NN for Digital Logic Circuit Application Journal of Engineering and Sustainable Development genetic algorithm feed forward network Reinforcement learning Digital Logic Circuit back propagation |
| title | Comparison Study on Using of BP and Genetic NN for Digital Logic Circuit Application |
| title_full | Comparison Study on Using of BP and Genetic NN for Digital Logic Circuit Application |
| title_fullStr | Comparison Study on Using of BP and Genetic NN for Digital Logic Circuit Application |
| title_full_unstemmed | Comparison Study on Using of BP and Genetic NN for Digital Logic Circuit Application |
| title_short | Comparison Study on Using of BP and Genetic NN for Digital Logic Circuit Application |
| title_sort | comparison study on using of bp and genetic nn for digital logic circuit application |
| topic | genetic algorithm feed forward network Reinforcement learning Digital Logic Circuit back propagation |
| url | https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/1168 |
| work_keys_str_mv | AT raaedkhalidibrahemalazzawi comparisonstudyonusingofbpandgeneticnnfordigitallogiccircuitapplication AT anasalihussien comparisonstudyonusingofbpandgeneticnnfordigitallogiccircuitapplication |