沈阳工业大学学报：社会科学版2012，Vol.5Issue(1)：12-15,23,5.
基于BP神经网络的县域经济发展模式选择——以辽宁省部分县域为例
Pattern selection of economic development in county area based on BP neural network：a case of counties in Liaoning Province
摘要
Abstract
The economic development pattern of county area is a distinctive developing process and path which gradually formed in the process of constantly industrialization and modernization of county economy. Referring and selecting right development pattern play an important role in constituting the strategy of economic development pattern in county area, improving the efficiency of economic development in county area, and helping economic development in county area free from predicament. Starting from perspective of economic development pattern in county area led by three major industries, some counties in Liaoning Province are taken as examples, models are established by applying BP artificial neural network, and appropriate development patterns in developing process are selected for each county area through computer simulation, so as to promote the well-off economic development in county area.关键词
县域经济/经济发展/发展模式/发展效率/模式选择/BP神经网络/选择模型Key words
county economy/economic development/development pattern/development effciency/pattern selection/BP neural network/selection model分类
管理科学引用本文复制引用
祝爱民,袁赫,于丽娟,王温冉..基于BP神经网络的县域经济发展模式选择——以辽宁省部分县域为例[J].沈阳工业大学学报：社会科学版,2012,5(1):12-15,23,5.基金项目
辽宁省科技计划项目（2009401013）. （）
