Application of Neural Network in Teaching Quality Evaluation of SCM Course

摘要：

In this paper computational intelligence that is, BP Neural Network is adopted to develop teaching quality evaluation systems. The neural network is trained with achievement of class,out-of-class, experiments and examination as 4 inputs, 1 output, and the square of errors between the output value and desired value which are sum of score and achievement in his work as performance index. The weights between hidden neurons and output neuron, and weights between input neuron and hidden neurons are tuned. Finally stable weight values are obtained in the light of gradient descent mean until the desired performance index is reached. Thus the system is developed which can present the nonlinear relative of teaching and its compositions. In this research it is the first application that advance operator of computational intelligence is adopted to develop teaching quality evaluation system by scholar inside China.

关键词： Back Propagation Neural Network Teaching Quality Evaluation Performance Index Single Chin Microcomputer

作者: GE Dongyuan YAO Xifan

作者单位: School of Mechanical & Automotive Engineering,South China University of Technology,Guangzhou 510640, School of Mechanical & Automotive Engineering,South China University of Technology,Guangzhou 510640,

会议类型: 国际会议

会议名称: 2008 International Seminar on Education Management and Engineering(2008教育管理科学与工程国际研讨会)

会议地点: 成都

会议语种:英文

页码: 638-642

在线出版日期: 2008-09-22（万方平台首次上网日期，不代表论文的发表时间）