现代电子技术2017，Vol.40Issue(15)：56-58,63,4.DOI:10.16652/j.issn.1004-373x.2017.15.015
基于BP神经网络的创新绩效评价模型
Innovation performance evaluation model based on BP neural network
芦冬青1
作者信息
- 1. 商丘学院 工商管理学院,河南 商丘 476000
- 折叠
摘要
Abstract
Since the available innovation performance evaluation model has the defects of low convergence efficiency and weak generalization performance,an innovation performance evaluation model based on BP neural network is proposed. The in-dex system of the innovation performance evaluation was constructed. The corresponding innovation performance evaluation data is collected,and trained with BP neural network simulating the human brain. The gradient method is used to determine the pa-rameter of BP neural network. The innovation performance evaluation model was established,and its performance was tested with simulation experiment. The experimental results show that the model can improve the accuracy of innovation performance evaluation and evaluation speed,its evaluation effect is superior to other models,and has high practical application value.关键词
BP神经网络/评价模型/收敛效率/泛化性能Key words
BP neural network/evaluation model/convergence efficiency/generalization performance分类
信息技术与安全科学引用本文复制引用
芦冬青..基于BP神经网络的创新绩效评价模型[J].现代电子技术,2017,40(15):56-58,63,4.
