基于遗传神经网络的天津滨海新区人才竞争力评价  

Measuring of Competitiveness of Labor Force of Tianjin Binhai New Area by BP Artificial Neural Network Based on Genetic algorithm

作　　者：邢洁[1] 刘芳[2] 

机构地区：[1]天津大学管理与经济学部,天津300072 [2]天津理工大学工商管理学院,天津300384

出　　处：《科学管理研究》2012年第3期97-100,共4页Scientific Management Research

摘　　要：在借鉴国家和城市人才竞争力评价方法的基础上,构建了独立的区域人才竞争力评价指标体系,对我国环渤海经济圈、长三角和珠三角地区的重要区域进行了人才竞争力评价的实证研究。用MATLAB网络环境建立基于遗传算法的BP神经网络模型评价模型,对我国三大经济圈内5个重要区域的人才竞争力进行了测算和排序,明确了滨海新区人才竞争力水平,为提高滨海新区人才竞争力水平提出对策建议和措施。Basing on Regional Competitiveness Theory and the reference of evaluation models of countries or cit- ies, this research designs a theoretical framework for art independent evaluation system of regional competitiveness of talents and conducts an empirical analysis of competitiveness of labor force of the key region of China Three Econom- ic Circle. It Measures and ranks the competitiveness of regional labor force of the five major areas of the three eco- nomic circles, basing on Genetic BP Artificial Neural Network in MATLAB environment, thus proofs the position of competitiveness of talents of Tianjin Binhai New Area and present solutions and suggestions.

关 键 词：天津滨海新区 人才竞争力 遗传算法 BP神经网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] F249.23[自动化与计算机技术—控制科学与工程]