计算机与现代化 ›› 2013, Vol. 1 ›› Issue (3): 54-57.doi:

• 算法分析与设计 • 上一篇    下一篇

基于模拟退火的岭回归模型在体质测试中的应用

钱晓杨   

  1. 同济大学计算机科学与技术系,上海201804
  • 收稿日期:2012-11-08 修回日期:1900-01-01 出版日期:2013-04-03 发布日期:2013-04-03

Application of Ridge Regression Model Based on Simulated Annealing in Physical Fitness Test

QIAN Xiao-yang   

  1. Department of Computer Science & Technology, Tongji University, Shanghai 201804, China
  • Received:2012-11-08 Revised:1900-01-01 Online:2013-04-03 Published:2013-04-03

摘要: 以体质指标关联性为研究对象,针对体质指标间存在的多重共线性问题,对现有的线性回归模型进行改进,本文提出一种基于模拟退火技术来确定岭参数k值的改进的岭回归估计模型算法。在实验中,以均方误差和理论常识为参考标准,证明此算法更具有一定的准确性和可靠性。

关键词: 岭回归, 模拟退火, 多元线性回归, 体质指标估计

Abstract: By discussing the relevance and the multicollinearity problems between physical indicators, this paper improves the existing linear regressing model and proposes a kind of new optimized ridge regression model estimation algorithm based on simulated annealing technique to determine the parameter k. And experiments with reference standard of mse and common sense are made to prove the accuracy and reliability of the algorithm.

Key words: ridge regression, simulated annealing, multiple linear regression, physical fitness estimation