基于Guass-Newton法的远程教育学习兴趣趋避度模型构建  

On Learning Interest Approach-Withdrawal Model Construction Based on the Guass-Newton Method in Distance Education

作　　者：马素萍[1] 高洪波[2] 

机构地区：[1]江苏城市职业学院基础部数学教研室,江苏南通226006 [2]江苏城市职业学院科研处,江苏南通226006

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

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.

关 键 词：Guass-Newton法 远程教育 趋避度 算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]