基于DEA和BP神经网络的企业科技成果转化综合评价及实证分析

构建了企业科技成果转化综合评价指标体系,将数据包络分析（DEA）与BP神经网络两种评价方法有机结合,建立了DEA-BP神经网络综合评价模型,利用该模型对1998年至2009年间上海市规模以上企业的相关数据进行了实证分析,验证了本文所构建的评价模型具有较高的精确度和预测能力,并根据评价结果,提出了上海市促进科技成果转化的一系列建议。

Comprehensive Evaluation for Commercialization of Research Findings Based on DEA-BP Neural Network Model and Empirical Analysis

Comprehensive evaluating indicator system for the commercialization of research findings is conducted. DEA-BP neural network comprehensive evaluating model is presented combined data envelopment analysis (DEA) with BP neural network. This paper conducts empirical research for enterprises above the designated size of Shanghai from 1998 year to 2009 year with the DEA-BP neural network model. Simulations and results validate its efficiency and superiority of DEA-BP neural network model, and some suggestions for improving the efficiency of commercialization of research findings are put forward based on the model.