基于杂交粒子群算法的多元线性回归的双语教学态度预测模型

Bilingual teaching attitude multivariate linear regression model to predict the hybrid particle swarm algorithm

为了提高多元线性回归分析模型预测双语教学态度的准确性和可靠性,采用杂交粒子群优化算法估算模型系数。将调查数据分为建模样本数据和测试样本数据,测试结果表明基于杂交粒子群优化算法的多元线性回归模型具有较高的精确度。

In order to improve the accuracy and reliability of prediction of regression analysis model of bilingual teachingattitude of multivariate linear, using the hybrid particle swarm optimization algorithm to estimate the model coefficients. The survey data is divided into modeling sample data and test data, test results show that the multivariate linear based on hybrid particle swarm optimization algorithm with high accuracy based on regression model.