Please wait a minute...
Computer & Telecommunication  2016, Vol. 1 Issue (9): 17-19    DOI:
Current Issue | Archive | Adv Search |
The Performance Evaluation of Talent Training Mode Based on the Perspective of Ordinary Local Colleges
Liu Bingxiang,Tian Yuan,Yu Shanshan,Huang Yuanming,Fei Ruolan
Download:   PDF(0KB)
Export: BibTeX | EndNote (RIS)      
Abstract  The goal of ordinary local colleges, which provides a large number of talents for the construction and development of local enterprises, is to improve the performance of personnel training constantly. However, the evaluation indexes of the talent training mode are uncertain and the evaluation process is dynamic. So for the construction of evaluation index system, entropy method, principal component analysis and BP neural network method are used to determine the index weights. Markov chain theory is used to find the development trend of the professional talent in different stages and it results in the comprehensive evaluation conclusions. Finally, the feasibility and effectiveness of the evaluation method is proved by an example.
Key wordsinternship      exchange      examination and approval      medical insurance      data mining      system construction      query HBase      high efficiency      high reliability      ordinary local colleges      talent training mode      performance evaluation      multi RR? outer measuring system      high precision      measurement system      Micro Learning Resource      Micro Learning Resource Ecosystem      education ecosystem      ecological environment      ecological function     
Published: 14 November 2017
:  G642.0  

Cite this article:

Liu Bingxiang, Tian Yuan, Yu Shanshan, Huang Yuanming, Fei Ruolan. The Performance Evaluation of Talent Training Mode Based on the Perspective of Ordinary Local Colleges. Computer & Telecommunication, 2016, 1(9): 17-19.

URL:

https://www.computertelecom.com.cn/EN/     OR     https://www.computertelecom.com.cn/EN/Y2016/V1/I9/17

[1] HUANG Hui-jun  WANG Bo  LI Yu-zhong . Data Analysis on the Utilization Rate of“ Whole Village Credit” for Local Rural Commercial Bank ——Take H Rural Commercial Bank for Example[J]. 电脑与电信, 2024, 1(5): 1-.
[2] DENG Chang-jun LI Kang JIA Xu.
Design of Ecological Environment Monitoring System in Hainan Island
[J]. 电脑与电信, 2022, 1(1-2): 23-27.
[3] YANG Jun LAI Jin-zhi.
Innovative Research on Integration of Industry and Education for Talent
Training of Industrial Internet Related Majors
[J]. 电脑与电信, 2022, 1(12): 13-.
[4] ZHU Feng. Million Enrollment Expansion in Higher Vocational Education——Research on Talent Training Strategy for Big Data Technology and Application Specialty[J]. 电脑与电信, 2021, 1(9): 85-89.
[5] WANG Mao-fa WANG Zi-min WANG Hua-deng LIU Zhen-bing. Construction and Research on Data Mining Course Based on Jupyter[J]. 电脑与电信, 2021, 1(7): 12-16.
[6] GE Xiao-yan. Exploring on Mixed Teaching Reform of Data Mining Course[J]. 电脑与电信, 2021, 1(6): 43-46.
[7] DU Zhen-xin.
Research on Process Generation Heuristic Teaching in Data Mining Course
[J]. 电脑与电信, 2021, 1(12): 47-49.
[8] YU Ye.
Score Data Mining of Traffic Management Engineering Major Course
[J]. 电脑与电信, 2021, 1(12): 62-65.
[9] GONG Jian-feng.
Research on Cloud Security Evaluation Model Based on Data Mining
[J]. 电脑与电信, 2021, 1(11): 95-.
[10] MA Jie HUANG Xin.
Research on the Enterprise Informatization Performance Evaluation System Based on ITIL
[J]. 电脑与电信, 2021, 0(10): 8-13.
[11] Ao Zhang-hong. Research and Practice on Talent Training Mode of Electrical Information Specialty under the Background of Engineering Education[J]. 电脑与电信, 2021, 1(1): 11-13.
[12] CAI Zhao-zhao NUERAILI Aierken. Research on Mixed Teaching Mode of Data Mining Course Based on SPOC[J]. 电脑与电信, 2020, 1(9): 40-42.
[13] LI Ye-qian. Design and Implementation of High Reliable Campus Network Based on Network Virtualization[J]. 电脑与电信, 2020, 1(1-2): 54-.
[14] ZHANG Xiao-ling. Research on Performance Evaluation of School-enterprise Cooperation in Higher Vocational Col- leges Based on NetworkAnalytic Hierarchy Process (ANP)[J]. 电脑与电信, 2020, 1(11): 22-27.
[15] . K-Means ParallelizationAlgorithm Based on Canopy[J]. 电脑与电信, 2019, 1(7): 30-.
Copyright © Computer & Telecommunication, All Rights Reserved.
Powered by Beijing Magtech Co. Ltd