The Use of Grey Verhulst Model in The Prediction of Operating Activity Cash Flow

摘要：

In order to make a correct decision on avoiding financial crisis for the enterprise, it is necessary to investigate the trends of net cash flow in the enterprise business activities. In this paper, operating cash flow forecasting model is built on the use of the Gray Verhulst Model as well as the BP Neural Network approach. Empirical analyses prove that the average relative error rate is much less than that using the two methods respectively. Whats more, the accuracy and precison of the model are better, which, to some extent, enjoys the application values.

关键词： Grey Verhulst Neural Network Operating Activity Cash Flow Prediction

作者: Jin Su Jianyong Zhou

作者单位: Collage of Management, University of Shanghai for Science and Technology, Shanghai 200093

会议类型: 国际会议

会议名称: 2011 Fourth International Conference on Business Intelligence and Financial Engineering(第四届商务智能与金融工程国际会议 BIFE2011)

会议地点: 武汉

会议语种:英文

页码: 27-31

在线出版日期: 2011-10-17（万方平台首次上网日期，不代表论文的发表时间）