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| 基于改进BP神经网络的孔板应力集中系数预测 | |
| 引用本文： | 贾延,刘广君. 基于改进BP神经网络的孔板应力集中系数预测[J]. 煤矿机械, 2008, 29(2): 38-40 |
| 作者姓名： | 贾延 刘广君 |
| 作者单位： | 西北第二民族学院,基础部,银川,750021;西北第二民族学院,材料科学与工程学院,银川,750021 |
| 基金项目： | 西北第二民族学院校级重点项目 |
| 摘 要： | 在正交试验和无网格法数值计算结果的基础上,针对常用BP算法的不足,采用动量因子与自适应学习速率相结合的改进BP神经网络方法,建立了孔板应力集中系数预测模型。经过计算结果的检验,表明该模型是可行的,对今后孔板应力集中系数预测具有借鉴意义。 |
| 关 键 词： | 应力集中 BP神经网络 孔板 预测 |
| 文章编号： | 1003-0794（2008）02-0038-03 |
| 收稿时间： | 2007-08-28 |
| 修稿时间： | 2007-08-28 |
Stress Concentration Factors Prediction of Orifice Plate Based on Modified BP Neural Network |
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| JIA Yan,LIU Guang-jun. Stress Concentration Factors Prediction of Orifice Plate Based on Modified BP Neural Network[J]. Coal Mine Machinery, 2008, 29(2): 38-40 | |
| Authors: | JIA Yan LIU Guang-jun |
| Abstract: | Based on orthogonal experiment and numerical calculation results of meshless method, in light of deficiency of the normal BP algorithm, a neural network predictive model for the stress concentration factors of orifice plates established on the basis of the improved BP algorithm in combination of momentum factor and self- adaptive learning rate. Tested by results which export from computer, this model is proved to be feasible, and offers reference to the stress concentration factor prediction of orifice plate. |
| Keywords: | stress concentration BP neural network orifice plate prediction |
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