| 基于灰色神经网络的我国原煤产量预测 |
| |
| 引用本文： | 左佼,卢建军,贾云飞,卫晨.基于灰色神经网络的我国原煤产量预测[J].煤炭技术,2011,30(10). |
| |
| 作者姓名： | 左佼 卢建军 贾云飞 卫晨 |
| |
| 作者单位： | 1. 西安科技大学通信与信息工程学院,西安,710054
2. 河南新乡供电公司安全监察部,河南新乡,453002 |
| |
| 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。
|
| 关 键 词： | 原煤产量 预测 灰色模型 神经网络 |
Forecast of Raw Coal Production Based on Grey Neural Network in China |
| |
| ZUO Jiao,LU Jian-jun,JIA Yun-fen,WEI Chen.Forecast of Raw Coal Production Based on Grey Neural Network in China[J].Coal Technology,2011,30(10). |
| |
| Authors: | ZUO Jiao LU Jian-jun JIA Yun-fen WEI Chen |
| |
| Affiliation: | ZUO Jiao1,LU Jian-jun1,JIA Yun-fen2,WEI Chen1(1.Communication and Information Engineering College,Xi'an University of Science and Technology,Xi'an 710054,China,2.Safety Supervision,Henan Xinxiang Power Company,Xinxiang 453002,China) |
| |
| Abstract: | 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 9.8 percent,so using this model improves the forecasting a... |
| |
| Keywords: | raw coal production forecasting gray model neural network |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
