计算机与数字工程2017，Vol.45Issue(4)：603-607,631,6.DOI:10.3969/j.issn.1672-9722.2017.04.001
基于拓扑结构神经网络的绩效管理评价研究
Evaluation of the Performance Management Based on Neural Network Topology Structure
摘要
Abstract
In order to solve the problems existing in the evaluation methods of enterprise performance management, which can not meet the requirements of the enterprise development process to evaluate the accuracy of the system, eight representative indexes are selected as evaluation indexes of performance evaluation by using AHP method in the complex evaluation index system, and then the BP neural network method of topological structure is used to construct the evaluation model and the algorithm program is designed, the computer technology is combined to carry on the network training, and the simulation result of this algorithm is gotten: the error of the algorithm has reached the expected results when the training step is 100, and the correlation coefficient of forecast data is 0.98747, it shows that the BP neural network algorithm based on topological structure in enterprise performance management evaluation has certain feasibility and high accuracy.关键词
企业绩效管理/评价指标体系/拓扑结构/BP神经网络/数据仿真Key words
enterprise performance management/evaluation system/topological structure/BP neural network/data simulation Class Number分类
信息技术与安全科学引用本文复制引用
彭传梅..基于拓扑结构神经网络的绩效管理评价研究[J].计算机与数字工程,2017,45(4):603-607,631,6.基金项目
国家自然科学基金项目(编号:41471456) （编号:41471456）
中央高校基本科研业务费项目(编号:2014B39714) （编号:2014B39714）
江苏省普通高校研究生科研创新计划项目(编号:KYLX_0512)资助. （编号:KYLX_0512）
