摘要
文章采用灰色神经网络进行我国煤炭产量预测模型的建模,灰色神经网络具有灰色系统模型的可以用少量样本数据来建模与神经网络精度高的特性,克服在进行煤炭产量预测样本数据少的问题,仿真结果表明,此种模型预测结果的相对误差是1.57%,只使用灰色模型预测结果的相对误差是9.8%,采用此模型提高了预测的准确性和精度。
In this paper by using grey neural network for our country＇s coal production forecast modeling, grey neural network have grey model can use a few sample data to modeling and neural network has a high precision characteristics, overcome the sample data less problem in coal yield prediction, the simulation results indicated that the model prediction result relative error is 1.57 percent, use only grey model to predict the results of the relative error was 918 percent, so using this model improves the forecasting accuracy and precision.
出处
《煤炭技术》
CAS
北大核心
2011年第10期5-7,共3页
Coal Technology
关键词
原煤产量
预测
灰色模型
神经网络
raw coal production
forecasting
gray model
neural network
