摘要
本研究采用JSP技术,对多项式回归、指数曲线拟合及正交多项式曲线拟合三种数学模型的算法复杂度、绝对平均误差、误差方差进行研究分析,从而探索一种适合于高校毕业生就业率统计与分析的数学模型。
This study uses JSP technology , to the polynomial regression, exponential curve fitting and orthogonal polynomial curve fitting three mathematical model of complexity of the algorithm , the average absolute error and the error variance to study and analysis, so as to explore a mathematical model suitable for employment rate of college graduates overall statistics and analysis.
出处
《科技信息》
2007年第29期228-229,234,共3页
Science & Technology Information
关键词
数学模型
算法复杂度
绝对平均误差
误差方差
就业率
mathematical model
the complexity of the algorithm
the average absolute error
error variance
employment rate
