标题:
基于人工神经网络的煤炭消耗量预测研究Prediction of the Coal Consumption Based on Artificial Neural Network
作者:
仉义美, 韩杨
关键字:
煤炭消耗量, 人工神经网络, 预测, 评估Coal Consumption; Artificial Neural Network; Prediction; Assessment
期刊名称:
《Computer Science and Application》, Vol.3 No.6, 2013-09-13
摘要:
本文利用我国2000~2011年的能源统计数据，针对我国煤炭消耗量问题，应用人工神经网络模型对煤炭消费量进行预测分析与评估。首先通过对2000~2010年的能源统计数据对网络模型进行学习训练，在此基础上对2011年的煤炭消费量进行预测。然后，在对这12年的煤炭消费量预测的结果进行评估分析。最后为与煤炭消耗相关的决策者们提供科学且有价值的参考依据。>To the coal consumption problem of China, artificial neural network model for coal consumption’s predictive analysis and assessment was set up with the energy statistics of the years 2000-2011. At first, the ANN model was trained through the energy statistics of the years 2000-2010, on this basis, the model will predict the coal consumption of the year 2011. Then the results predicted of the coal consumption in the recent 12 years will be analyzed and assessed. In a word, it provides some scientific and valuable reference for the managers and decision makers.