Research of Students Learning Quality Evaluation System Based on BP Neural Network

被引:0
|
作者
Dai, Li [1 ,3 ]
Zhao, Xiong [2 ,3 ]
Lu, Qi [1 ]
Lin, Mei [1 ]
Xu, Li [1 ]
机构
[1] Zhejiang Sci Tech Univ, Dept Management Sci & Engn, Hangzhou, Zhejiang, Peoples R China
[2] Zhejiang Sci Tech Univ, Dept Mech Engn & Automat, Hangzhou, Zhejiang, Peoples R China
[3] Zhejiang Prov Key Lab Transplanting Equipment & T, Hangzhou, Zhejiang, Peoples R China
关键词
BP; Learning quality; Evaluation; AHP;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In order to evaluate the quality of student learning at school, this article established the model of students' learning quality evaluation system based on BP neural network algorithm. It get there level evaluation indexes and twelve secondary evaluation indexes through questionnaire method, used the AHP method to obtain all the weights of evaluation indexes, established the evaluation model based on the BP neural network, and then training and simulation were carried out to get the comprehensive evaluation result, finally get the system model. This article developed a virtual application platform and verified the model, then proved the correctness, objectivity and scientific of the model. For universities or enterprises to develop the students' learning quality evaluation or the quality of staff work, provides an important reference and a certain reference value.
引用
收藏
页码:313 / 318
页数:6
相关论文
共 50 条
  • [21] The research on water quality assessment method based on combination fuzzy system and BP neural network
    Ming, X. (xueming_net@sina.com), 2013, Research India Publications (08):
  • [22] Research on Early Warning Platform of Quality Assurance System Based on BP Neural Network OCR
    Sun, Cuihua
    Ge, Yong
    Yao, Zhengang
    PROCEEDINGS OF THE 2017 7TH INTERNATIONAL CONFERENCE ON SOCIAL NETWORK, COMMUNICATION AND EDUCATION (SNCE 2017), 2017, 82 : 110 - 114
  • [23] Evaluation of the Autonomous Parking System Based on BP Neural Network
    Du, Fangjing
    Zhao, Yanan
    Gao, Li
    Wang, Wenhao
    2017 NINTH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC 2017), VOL 2, 2017, : 324 - 327
  • [24] Accounting Information Quality Evaluation Based on BP Neural Network Evaluation Model
    Zhang, Lei
    FORTHCOMING NETWORKS AND SUSTAINABILITY IN THE IOT ERA (FONES-IOT 2021), VOL 1, 2022, 129 : 157 - 164
  • [25] Research on the Application of BP Neural Network in Vocal Music Teaching Quality Evaluation
    Jia Wanyin
    2020 5TH INTERNATIONAL CONFERENCE ON SMART GRID AND ELECTRICAL AUTOMATION (ICSGEA 2020), 2020, : 306 - 309
  • [26] Application Research on Improved BP Neural Network for Water Quality Comprehensive Evaluation
    Zhang, Lian
    Li, Wen-juan
    Lai, Wei
    INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2012), 2013, 8768
  • [27] Research on Mathematics Teaching Quality Evaluation via an Improved BP Neural Network
    Ji Yan-feng
    PROCEEDINGS 2015 SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND ENGINEERING APPLICATIONS ISDEA 2015, 2015, : 640 - 643
  • [28] Evaluation Model of Grape Wine Quality Based on BP Neural Network
    XiaojieWang
    ZhongliangGuan
    2016 INTERNATIONAL CONFERENCE ON LOGISTICS, INFORMATICS AND SERVICE SCIENCES (LISS' 2016), 2016,
  • [29] Company employee quality evaluation model based on BP neural network
    Tseng, Tsui-Yuan
    Luo, Qinglan
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 40 (04) : 5883 - 5892
  • [30] Teaching Quality Evaluation Based on BP Neural Network for Agricultural University
    Guo, Tao
    Qi, Jing
    2015 2nd International Conference on Creative Education (ICCE 2015), Pt 2, 2015, 11 : 122 - 126