节点文献
人工神经网络模型在均匀设计试验数据处理中的应用
Application of Neural Network Model to Analysis of Experimental Data from Uniform Design Theory
【摘要】 针对均匀设计方法在材料多因素试验中数据离散性大的问题 ,提出采用人工神经网络模型对均匀设计试验数据进行处理 ,建立了试验因素与结果之间的BP模型 .实际应用证明该方法不仅可大大减少试验工作量 ,又可克服试验数据离散性大的问题 ,并能得出满足工程要求的最优配方 .
【Abstract】 In consideration of data scatter in the uniform design method used in multi factor experiment of material,it is proposed that the neural network model be used in the analysis of experimental data from the uniform design method.A BP model of factor and result is set up.Application shows that the method is effcetive and it can reduce the work load of experiment.And the method has solved the problem of experimental data scatter,besides,it can yield the optimum mix proportion of the material.
【关键词】 神经网络模型;
均匀设计理论;
试验数理处理;
【Key words】 neural network model; uniform design theory; experimental data analysis;
【Key words】 neural network model; uniform design theory; experimental data analysis;
- 【文献出处】 河海大学学报(自然科学版) ,Journal of Hehai University (Natural Sciences ) , 编辑部邮箱 ,2001年02期
- 【分类号】TV222
- 【被引频次】23
- 【下载频次】335