期刊文献+

人工神经网络在审计领域的应用 被引量:2

The Application of the Artificial Neural Network(ANN) in the Audit Field
下载PDF
导出
摘要 介绍了人工神经网络的基本特征,对国内外将人工神经网络技术应用于审计的有代表性的研究成果进行了综述,建议我国也应开展此类研究,且应将研究重点放在审计实质性测试方面。 This paper introduces the basic features of ANN, summarizes the representative research achievements obtained at home and abroad on the application of ANN in the field of the audit, and provides the suggestion on that our country should develop such researches and put the emphases on the audit of the substantive test.
作者 左志刚 谢芳
出处 《科技情报开发与经济》 2007年第15期159-161,共3页 Sci-Tech Information Development & Economy
关键词 人工神经网络 审计 实质性测试 ANN audit substantive test
  • 相关文献

参考文献19

  • 1Coakley J R,Brown C E.Neural Networks Applied to Ratio Analysis in the Analytical Review Process[C].California:University of Southern California,School of Accounting,Expert Systems Symposium,Pasadena,1991.
  • 2Corkley J R,Brown C E.Artificial Neural Neworks Applied to Ratio Analysis in the Analytical Review Process[J].Intelligent Systems in Accounting,Finance and Management,1993(2):19-39.
  • 3Coakley J R.Using Pattern Analysis Methods to Supplement AttentionDirecting Analytical Procedures[J].Expert Systems with Applications,1995,9(4):513-528.
  • 4Wu,R C -F.Integrating Neurocomputing and Auditing Expertise[J].Managerial Auditing Journal,1994,9(3):20-26.
  • 5Busta B,Weinberg R.Using Benford's law and neural networks as a review procedure[J].Managerial Auditing Journal,1998,13(6):356-366.
  • 6Koskivaara E.Different Pre-Processing Models for Financial Accounts when Using Neural Networks for Auditing[C].Vienna:Vienna University of Economics and Business Administration.European Conference on Information Systems,2000.
  • 7Koskivaara E.Artificial neural network models for predicting patterns in auditing monthly balances[J].Journal of the Operational Research Society,2000,51(9):1060-1069.
  • 8Green B P,Choi J H.Assessing the Risk of Management Fraud Through Neural Network Technology[J].Auditing:A Journal of Practice & Theory,1997,16(1):14-28.
  • 9Fanning K M,Cogger K O.Neural Network Detection of Management Fraud Using Published Financial Data[J].International Journal of Intelligent Systems in Accounting,Finance & Management,1998,7(1):21-41.
  • 10Feroz E H,Kwon T M.The Efficacy of Red Flags in Predicting the SEC's Targets:An Artificial Neural Networks Approach[J].International Journal of Intelligent Systems in Accounting,Finance & Management,2000(9):145-157.

同被引文献14

引证文献2

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部