基于人工神经网络的高校教师多维业绩考核系统设计

Design of university teachers′multi⁃dimension performance evaluation system based on artificial neural network

现有系统存在工作量较大、考核标准不全面等问题,导致高校教师业绩考核精度较差。因此,文中提出一种基于人工神经网络的高校教师多维业绩考核系统设计。设计系统沿用现有系统硬件设备,软件模块从多维角度选取考核指标,构建教师多维业绩考核指标体系;通过专家咨询与层次分析法确定教师多维业绩考核指标权重;采用人工神经网络搭建模块,构建教师多维业绩考核模型;设计以规定数据形式存储的教师业绩考核数据,实现数据库模块功能。最后,通过软件模块设计,实现高校教师多维业绩考核系统的运行。实验结果显示:与实际数值相比较,文中系统对高校教师多维业绩考核结果的误差在6%以内,满足高校教师业绩考核精度需求。

There are some problems in the existing system,such as heavy workload and incomplete evaluation standards,which lead to poor accuracy of performance evaluation for university teachers.Therefore,a multi⁃dimensional performance evaluation system for university teachers is proposed on the basis of the artificial neural network.The existing system hardware equipments are utilized in the proposed system.In design of the software module,the evaluation indexes are selected in the multi⁃dimensional angle,the multi⁃dimensional performance evaluation index system for university teachers is constructed,and the weight of the multi⁃dimensional performance evaluation index is determined by means of expert consultation and analytic hierarchy process.The multi⁃dimensional performance evaluation model is constructed on the basis of the artificial neural network.The university teachers′performance evaluation data are stored in the prescribed data form to realize the function of database module.The multi⁃dimensional performance evaluation system for university teachers is implemented.The experimental results show that,in comparison with the actual numerical value,the error of the multi⁃dimensional performance evaluation results of the proposed system is within 6%,which can meet the needs of the accuracy of university teachers′performance evaluation.