通过对矿业城市转型效果的各项评价指标的详细划分,对转型效果的良好与否作出合理判断,并通过建立BP网络模型构建矿业城市转型的各项影响因素与转型效果之间的互动关系。从而为转型过程中的不利影响因素的及时修正及转型效果的科学预测、评价提供相关工具。
Through the detail classification of the evaluate index toward the mining city restructure result , we can reach a reasonable judgement to the restructure result, and by the establishment of the model of BP neural network , we can establish the relation between the result and the disadvantage factors. So we can provide related tools for the revise of the disadvantage influence factors in time and science ground forecast and evaluate the restructure result.