基于AHP-BP神经网络的江苏省创新型经济评价

Evaluation of Innovative Economy in Jiangsu Province Based on AHP and BP Neural Network

摘要:

利用层次分析法理论,构建评价指标体系,从创新投入、创新环境、创新绩效以及可持续发展性四个方面对创新型经济的发展进行评价。同时,构建BP神经网络模型,将层次分析法的结果作为样本对其进行训练和测试。此过程中,选取安徽、陕西、广东等7个省市与江苏省进行对比,明确江苏省创新型经济发展的成就并发现存在的问题。研究结果显示,基于AHP-BP的评价体系可行,江苏省创新型经济发展水平较高,但在可持续发展发面需要进一步提升。

关键词:创新型经济;AHP模型;BP神经网络;评价

Abstract:

Based on AHP, an evaluation index system is constructed to analyze the development level of innovative economy from four aspects, say innovative input, innovative environment, innovative performance and sustainable development. Then BP neural network on the evaluation is designed, trained and tested by the sample that was attained by AHP. In this process, Anhui, Shanxi, Guangdong Province and other four sections are selected in comparison to uncover the achievements and problems of innovative economy in Jiangsu Province. As a result, the evaluation system based on AHP and BP neural network is feasible. Innovative economy develops well in Jiangsu Province as a whole, but is a little inferior in the aspect of sustainable development.

Key words:innovative economy; AHP model; BP neural network; evaluation