Application of Combinatorial Forecast Method in Enterprise Profit

摘要：

Seeking for scientific and reliable enterprise profit forecast is the key point to ensure the enterprises scientific management. Having got the two predict sequences by stochastic partial elasticity theory and BP neural network, a new solution of the combinatorial weighted coefficients by improving the forecast accuracy can obtain a new forecast value. Based on many examples, the new combinatorial forecast is proved to be very effective and much more accurate, and it can improve the reliability of enterprise profit forecast.

关键词： reliability stochastic partial elasticity theory BP neural network forecast accuracy weighted coefficient

作者: Shengwu ZHOU Ma Dan Ding Yujie Zhu Kaiyong

作者单位: College of Science,China University of Mining and Technology,Xuzhou 221116,China

会议类型: 国际会议

会议名称: 2008 International Conference on Risk and Relianility Management(2008风险与可靠性管理国际会议)

会议地点: 北京

会议语种:英文

页码: 932-935

在线出版日期: 2008-11-10（万方平台首次上网日期，不代表论文的发表时间）