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基于RBF神经网络的高新技术企业资金运营效果评价
引用本文:王玉冬,滕春贤.基于RBF神经网络的高新技术企业资金运营效果评价[J].中国软科学,2004(8):97-101.
作者姓名:王玉冬  滕春贤
作者单位:哈尔滨理工大学,经济管理学院,黑龙江,哈尔滨,150080
基金项目:黑龙江省自然科学基金资助项目(G0215)
摘    要:本文在高新技术企业资金运营效果评价指标体系建立的基础上,运用径向基(RBF)神经网络设计了智能化评价方法,并选择了部分典型高新技术企业资金运营效果数据,对该网络系统进行了综合训练。本文研究为高新技术企业资金运营效果评价、资金运营控制和资金管理提供了一种有效的方法。

关 键 词:RBF  径向基神经网络  高新技术企业  资金运营  效果评价
文章编号:1002-9753(2004)08-0097-05

A Study of the Synthetic Evaluation Approach in Capital Running Performance of High- tech Enterprises Based on RBF Artificial Neural Network
WANG Yu-dong,TENG Chun-xian.A Study of the Synthetic Evaluation Approach in Capital Running Performance of High- tech Enterprises Based on RBF Artificial Neural Network[J].China Soft Science,2004(8):97-101.
Authors:WANG Yu-dong  TENG Chun-xian
Abstract:On the basis of setting up an indexes evaluation system of capital running performance in high-tech enterprises, this paper proposes an intelligent evaluation approach which was designed by RBF(Return Back Propagation)Artificial Neural Network. Furthermore the comprehensive training has been carried out through selecting part of the capital running performance data of a few typical high-tech enterprises. Thus an effective approach has been provided not only for the research on the evaluation of capital running performance, but also for the control of the capital running and for the capital management in high tech enterprises.
Keywords:high-tech enterprise  capital running performance  RBF Artificial Neural Network  evaluation approach
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