Title :
The Use of Grey Verhulst Model in the Prediction of Operating Activity Cash Flow
Author :
Su, Jin ; Zhou, Jianyong
Author_Institution :
Coll. of Manage., Univ. of Shanghai for Sci. & Technol., Shanghai, China
Abstract :
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. What´s more, the accuracy and precison of the model are better, which, to some extent, enjoys the application values.
Keywords :
decision making; economic forecasting; financial management; grey systems; neural nets; prediction theory; BP Neural Network approach; Grey Verhulst model; decision making; enterprise business activities; enterprise financial crisis; operating activity cash flow prediction; operating cash flow forecasting model; Accuracy; Artificial neural networks; Biological neural networks; Companies; Data models; Predictive models; Grey Verhulst; Neural Network; Operating Activity Cash Flow; Prediction;
Conference_Titel :
Business Intelligence and Financial Engineering (BIFE), 2011 Fourth International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-1541-9
DOI :
10.1109/BIFE.2011.147
