摘要
为了更好地掌握远程教育中学生的学习状态,将非线性拟合算法引入到远程教育学习兴趣趋避度模型的构建中,提出了一种基于Guass-Nenwton法的远程教育学习兴趣趋避度算法.依据实测的人脸面积与学习兴趣度量值进行实证分析表明,该算法可以较好的拟合学习兴趣趋避度中实测的人脸面积与学习兴趣趋避度值,其误差接近理想范围.
In order to better grasp the learning state of the distance education students, the nonlinear fitting algorithm is introduced into the Approach-Withdrawal model construction about the distance education learning interest, and a kind of the algorithm about the distance education learning interest Approach-Withdrawal is put forward based on Guass-Newton method. Based on the measured face area and learning interest measure, the empirical analysis finds that the algorithm can better fit into the two values of face area and learning interest in Approach-Withdrawal, and the error approximates the ideal range.
出处
《内江师范学院学报》
2014年第4期26-29,共4页
Journal of Neijiang Normal University
