Cash Flow Forecasting Based on GA-BP Model in Valuation

摘要：

Forecasting cash flow objectively is very importtant in discounted cash flow analysis. In order to predict cash flow after mergers, this paper puts forward a model based on genetic-algorithm and BP neural network, designs the steps of algorithm, build the structure of BP neural network. By simulation of data, the result indicates the model has good performance of prediction. It can overcome the flaws of statistics linear models.

关键词： cash flow genetic-algorithm bp neural network

作者: Hongjiu Liu Yanrong Hu Hongjiu Liu Weimin Ma

作者单位: Department of Management Engineering Changshu Institute of Technology, CIT Changshu City, China School of Economics and Management Tongji University, TJU Shanghai City, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Advanced Management Science(2010年IEEE高级管理科学国际会 IEEE ICAMS 2010)

会议地点: 成都

会议语种:英文

页码: 299-302

在线出版日期: 2010-07-09（万方平台首次上网日期，不代表论文的发表时间）