基于改进BP神经网络的学生职业素质能力评价模型  

Evaluation Model of Student Professional Quality and Ability Based on Improved BP Neural Network

作　　者：陆武慧 LU Wu-hui(School of General Aviation,Xi'an Aeronautical Polytechnic Institute,Xi'an 710089 China)

机构地区：[1]西安航空职业技术学院通用航空学院,陕西西安710089

出　　处：《自动化技术与应用》2024年第9期21-24,共4页Techniques of Automation and Applications

基　　金：陕西省教育厅2022年度一般专项科研计划项目(22JK0103/2022HZ1187)。

摘　　要：从新工科对高职学生职业素质的新需求出发,以机电一体化专业为例,探索学生职业素质能力评价模型。针对标准BP神经网络算法可能陷入局部最优解等不足,引入遗传算法对神经网络算法进行优化改进,利用MATLAB神经网络工具对该评价模型进行训练和测试。实验结果表明,改进后的BP神经网络模型适应性强,具有精确性和客观性,为新工科背景下的人才培养提供参考。Based on the new demand of new engineering for higher professional students'professional quality,this paper takes mechatronics major as an example to explore the evaluation model of students'professional quality and ability.Aiming at the shortcomings of the standard BP neural network algorithm that may fall into the local optimal solution,the genetic algorithm is introduced to optimize the neural network algorithm,and the MATLAB neural network tool is used to train and test the evaluation model.The experimental results show that the improved BP neural network model has strong adaptability,accuracy and objectivity,and provides reference for talent training under the background of new engineering.

关 键 词：BP神经网络 遗传算法 职业素质能力评价 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]