【摘要】 利用高碳当量灰铸铁组织强度试验数据,提出了一种基于支持向量机理论的灰铸铁强度预测模型。与多元线性回归、模糊回归和自适应模糊神经网络相比,该模型学习精度高且具有较好的泛化能力,能取得较好的预测效果。更多还原

【Abstract】 On the basis of the experimental data of microstructure and strength for gray cast iron with high carbon equivalent,a model of support vector machine for gray cast iron prediction was established.Comparing with the models based on multiple statistic analysis,generalized regress-ion neural network or adapted fuzzy neural network model,it shows better learning precision and generalization.更多还原