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润滑油智能分析系统中BP神经网络结构的设计

Application of Genetic Algorithm in the BP Neural Network Structure Design of Intelligence Analysis System of Lubricated Oil
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摘要 探讨了运用遗传算法,对润滑油添加剂分析系统中神经网络结构的设计,对不同结构的网络进行编码,每个码链对应一个网络结构,利用多种不同的初始连接权值分别对每个网络进行训练,利用误差函数确定适应度函数,利用交叉、变异等遗传操作算子对群体进行处理,从而得出最佳网络结构。 The neural network structure design of the intelligence analysis system of lubricate oil was studied based on the genetic algorithm. The different code was given to the different network structure, and each code series according with one network structure. Each network was trained by the various initial connection weights,fitness function was determined by error function and the group was treated by crossover and mutation operators. From this the best network structure was achieved.
出处 《润滑与密封》 EI CAS CSCD 北大核心 2006年第6期127-129,132,共4页 Lubrication Engineering
关键词 遗传算法 润滑油 添加剂 神经网络 genetic algorithm lubricate oil additive neural network
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参考文献2

  • 1MartinTHagan 戴葵译.Neural Network Design[M].北京:机械工业出版社,2002.227.
  • 2Vittorio Maniezzo.Genetic Evolution of the Topology and Weight Distribution of Neural Networks[J].IEEE Transactions on Neural Networks,1994,5(1).

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