基于BP神经网络的吉林省县域经济发展水平评价

ANALYSIS ON ECONOMICAL DEVELOPMENT LEVEL OF COUNTIES BASED ON BP NETWORK IN JILIN PROVINCE

选取6个经济指标,运用BP神经网络模型对吉林省39个县级城市的经济发展水平进行评价。结果表明:吉林省区域经济发展水平总体不高,经济发展水平地域差异显著。经济发展水平较高的县市在空间上表现为明显的空间集聚,长吉图地区县市的经济发展水平明显高于其他地区,而经济发展较差的县市主要集中在吉林省西部地区。

Application of ANN theory and method,adopting 6 economic indexes,we develop BP neural network model with 6 neurons in input layer,4 neurons in hidden layer and 1 neuron in output layer in economic development level evaluation with which 39 counties in Jilin Province economic development level is evaluated.The run results of BP show that the regional economic development level of Jilin province is lower and the regional differentiations of economic development are obvious.The spatial pattern of the higher level of economic development departments are presented obvious collective pattern.Counties in Changchun-Jilin-Tumen Economic Zone＇s economic development is much higher than other areas;And the areas where have a lower economic development level mainly in the western Jilin Province.