基于IAHP-BP神经网络的大学生综合能力评价方法研究  

Research on the Evaluation Method of College Students’ Comprehensive Ability Based on IAHP-BP Neural Network

作　　者：段凯歌 亓慧[1] 史颖[1] 祁晓博 王笑斌 吴晨旭 DUAN Kaige;QI Hui;SHI Ying;QI Xiaobo;WANG Xiaobin;WU Chenxu(College of Computer Science and Technology,Taiyuan Normal University,Jinzhong 030619,China)

机构地区：[1]太原师范学院计算机科学与技术学院,山西晋中030619

出　　处：《太原师范学院学报（自然科学版）》2023年第1期45-52,共8页Journal of Taiyuan Normal University:Natural Science Edition

基　　金：山西省基础研究计划(自由探索类)(20210302123334);山西省高等学校科技创新计划(2021L443)。

摘　　要：对大学生的综合评价需要考虑到德智体美劳多个方面,大多研究通过对大学生学习方面数据对大学生的综合能力水平进行评测,忽略了其他维度的信息.应用IAHP-BP神经网络算法对大学生综合能力进行评价,确保了评价的多维度,兼顾了IAHP的主观评价和BP神经网络的客观评价,使得评价结果更加接近于真实情况.实验结果表明,应用此方法评价大学生的综合能力,相对误差可以控制在2%以内,较为客观反映了大学生综合能力水平.The comprehensive evaluation of college students needs to take into account many aspects of morality, intelligence, physical fitness, beauty and labor.Most of the studies evaluate the comprehensive ability level of college students through the data of college students’ learning, ignoring the information of other dimensions.The IAHP-BP(Improved Analytical Hierarchy Process and Back Propagation) neural network algorithm is applied to evaluate the comprehensive ability of college students, which ensures the multi-dimensional evaluation, and takes into account the subjective evaluation of IAHP(Improved Analytical Hierarchy Process) and the objective evaluation of BP(Back Propagation) neural network, making the evaluation results closer to the real situation.The experimental results show that the relative error of using this method to evaluate the comprehensive ability of college students can be controlled within 2%,which objectively reflects the comprehensive ability level of college students.

关 键 词：IAHP-BP神经网络 大学生综合能力 评价模型 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]