未找到相关数据
基于径向基神经网络的聚丙烯熔融指数预报
被引：41
作者：
孔薇
杨杰
机构：
[1] 上海交通大学图像处理与模式识别研究所,上海交通大学图像处理与模式识别研究所上海,上海
来源：
关键词：
径向基神经网络;
主元分析法;
偏最小二乘法;
熔融指数;
D O I：
暂无
中图分类号：
TP183 [人工神经网络与计算];
学科分类号：
140502 [人工智能];
摘要：
Methods of PCA (principal component analysis) and PLS (partial least squares) based on RBF (radial basis function)neural network are proposed for the reason that the generalization ability of common neural networks debases when the input data is high dimension or correlations exist These two methods can reduce the dimension and extract the correlations of the input data They are used in the prediction of polypropylene melt index, and the simulation results show that the statistical methods improve the predictive precision successfully
引用
收藏
页码：1160 / 1163
页数：4
相关论文