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审计指标评价识别的Rough-ANN模型

徐向真

上海管理科学Issue(2):44-47,4.
上海管理科学Issue(2):44-47,4.

审计指标评价识别的Rough-ANN模型

Study on Rough - ANN Model of Audit Indicators Evaluation

徐向真1

作者信息

  • 1. 济南大学;天津财经大学
  • 折叠

摘要

Abstract

Audit indicator is an open system, so when the structure is relatively stmple, it is relatively easy to handle, but when the structure is more complex with financial statements and other relevant data, the need to improve the system of indicators will be more complex. This paper introduces the Rough set and ANN (artificial neural network) theory and the opportunities they bring to the audit indicator model. And the model will combine Rough sets and ANN to structure the evaluation audit Rough-ANN model, and then the paper explains an example to verify the feasibility and effectiveness of this model.

关键词

Rough/ANN/审计指标

Key words

Rough/ ANN/ Audit indicators

分类

管理科学

引用本文复制引用

徐向真..审计指标评价识别的Rough-ANN模型[J].上海管理科学,2012,(2):44-47,4.

基金项目

国家社科项目(11CGL018)阶段成果. (11CGL018)

上海管理科学

OACHSSCDCSSCICSTPCD

1005-9679

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