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《China Mechanical Engineering》 2016-20
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A Optimization Method for Non-linear Profile Based LM-BP Neural Networks

Xu Jing;He Zhen;Yuan Rong;Tianjin University;  
A method to optimize the non-linear profile was presented based on the DOE theory BP neural network model with Levenberg-Marquard algorithm,which were compared with the traditional statistical regression modeling by a example.The results show that the estimation errors of the model coefficients due to the design and experimental errors may be avoided based on LM-BP neural network modeling.Compared with the BP algorithm this method overcomes the standard BP algorithm performance of unstability,slow convergence and low convergence precision,the presence of local minima and other short-comings.The method proposed herein has a high accuracy,optimization results are satisfactory
【Fund】: 国家杰出青年科学基金资助项目(71225006)
【CateGory Index】: TP183
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