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电火花线切割加工工艺参数智能优化研究
引用本文:吴流发. 电火花线切割加工工艺参数智能优化研究[J]. 模具制造, 2007, 7(4): 70-72
作者姓名:吴流发
作者单位:中山市中等专业学校,广东中山,528400
摘    要:采用人工神经网络的智能优化方法对电火花线切割加工工艺参数进行优化,将优化后的参数用于实际加工,将加工结果与传统的非线性回归模型和人工神经网络模型的预测值进行比较,发现人工神经网络模型预测效果较好.

关 键 词:人工神经网络  BP网络模型  激发函数
文章编号:24211782

Research on Parameters Intelligence Optimization of WEDM
Wu Liufa. Research on Parameters Intelligence Optimization of WEDM[J]. Die & Mould Manufacture, 2007, 7(4): 70-72
Authors:Wu Liufa
Abstract:Using the method of intelligence optimization of artificial neural network to optimize the process parameters of WEDM, by comparing the predicted value of the artificial neural network model with the processing result and the traditional non-line tropical model, we found that the artificial neural network model can predict the result in a better way when we put the optimized parameters into practical processing.
Keywords:artificial neural network   BP network model   activated function
本文献已被 CNKI 维普 万方数据 等数据库收录!
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