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《Acta Armamentarii》 2006-03
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Application of a Fusion Modeling Method Based on GA-BP Networks to the Performance Prediction of the Core-drill

WU Qi~1,HU De-jin~1,ZHANG Yong-hong~2,XU Hong-jun~3(1.School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200030,China;2.Department of Information and Communication,Nanjing University of Information Science and Technology,Nanjing 210044,Jiangsu,China;3.College of Mechanical and Electrical Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,Jiangsu,China)  
A new algorithm for the performance prediction of the diamond core-drill was presented.The development of the algorithm is based on BP neural networks and GA algorithm.The presented GA-BP algorithm uses BP neural networks to generate GA-BP model.By computing error gradient and checking it with given error,local minimum position is identified.At this time,if BP neural network is in local minimum position,GA algorithm is used to optimize the BP neural networks' weight.The main advantage of the presented algorithm is the fact that it can solve disadvantages of BP neural networks,such as low rate of convergence,easily falling into local minimum point and so on.The effectiveness and accuracy of the algorithm is demonstrated by the performance prediction experiments of the diamond core-drill.
【CateGory Index】: TP183
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