长沙铁道学院学报2001，Vol.19Issue(1)：95-99,5.
基于Chebyshev多项式的自适应 偏最小二乘回归建模
Construction of Self-adaptive Partial Least Squares Regression Model Based on Chebyshev's Polynomial
摘要
Abstract
This paper provides an algorithm of constructing self-adaptive partial least sqaures regression model based on Chebyshev's polynomial.It automatically builds a multinomial model based on Chebyshev's polynomial with less predicting error.Its predicting efficency is better than that of traditional multinomial model.The algorithm proposed in this paper has generalized the partial least square method.In other words it means the application of partial least square method in nonlinear field.关键词
Chebyshev多项式/偏最小二乘法/回归模型分类
信息技术与安全科学引用本文复制引用
曾三友,孙星明,金可音,夏利民..基于Chebyshev多项式的自适应 偏最小二乘回归建模[J].长沙铁道学院学报,2001,19(1):95-99,5.基金项目
国家自然科学基金资助项目 （）
