基于数据挖掘的煤炭价格预测

人工神经网络与灰色理论都可以用来处理这种非线性、动态序列的预测问题。这两种数据挖掘方法都各有其优点与理论根据,究竟何种模型较适合煤炭价格预测,众说纷纭。为了避免顾此失彼,遗漏了一些重要的信息,本文研究了采用组合预测的方法,提出了将这两种数据挖掘的方法进行序列价格预测的方案,分析了方案的可行性。

Coal price forecast on Based Data Mining

Artifcial neural network(ANN) and grey theory(GT) both can be dealt with nonlinear and dynamic series forecasting problem,both of which have their advantages and theoretical groundings.Which one best suits coal price prediction remains further research.In order to make full use of both methods and avoid missing some important information,the paper studies the comprehensive prediction method and proposes a price prediction case by using both ANN and GT,and meanwhile,analyzes the feasibility of the case.