模糊聚类的马尔可夫方法及神经网络法在铁矿石需求预测中的应用

Application of Markov and ANN Methods in Demand Forecasting of Iron Ore

以徐州市生铁产量及其与铁矿石需求量之间的关系为基础,通过模糊聚类的马尔可夫方法、神经网络法进行预测,发现两种方法所得结果基本吻合,旨在为决策者提供参考依据。

The examples are expounded in Xuzhou City of Jiangsu Province, to analysis output of pig iron and the demand of iron ore. Through the application of Markov and ANN methods, and it finds that the results of two methods are basically consitent. It will supply reference for the decision maker.