| 神经网络在膏体充填质量模型中的应用 |
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| 引用本文： | 常庆粮,周华强,赵才智.神经网络在膏体充填质量模型中的应用[J].矿业研究与开发,2007,27(5):8-9,56. |
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| 作者姓名： | 常庆粮 周华强 赵才智 |
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| 作者单位： | 中国矿业大学,能源与安全工程学院,江苏,徐州市,221008 |
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| 基金项目： | 国家自然科学基金重大项目资助(50490270) |
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| 摘 要： | 煤矿膏体充填质量受多因素影响,且具有非线性特性,用数理统计的方法直接建立充填质量模型很困难。为了减少试验次数、降低试验费用,通过神经网络建立的膏体材料充填质量模型明显优于传统的回归分析法,利用膏体充填材料塌落度与主要影响因素浓度、胶结料用量、细集料用量的关系模型,可以有效预测膏体充填材料的塌落度。
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| 关 键 词： | 神经网络 膏体充填 充填质量 塌落度 |
| 文章编号： | 1005-2763（2007）05-0008-02 |
| 修稿时间： | 2006-12-26 |
Application of Neural Network to Paste Backfill Quality Model |
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| Chang Qingliang,Zhou Huaqiang,Zhao Caizhi.Application of Neural Network to Paste Backfill Quality Model[J].Mining Research and Development,2007,27(5):8-9,56. |
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| Authors: | Chang Qingliang Zhou Huaqiang Zhao Caizhi |
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| Affiliation: | School of Mining and Safety Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221008, China |
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| Abstract: | The quality of paste backfill is a multiple factor-influenced problem with nonlinear characteristic.It is very difficult to establish paste backfill quality model by straight use of the mathematical statistics method.In order to reduce the number and cost of test,the model of backfill quality is established by the neural network and is obviously superior to the traditional regression analysis method.The relationship model of slump of paste backfill with such main influencing factors as slurry concentration,dosages of cement and minute granule material is established,it is used to effectively forecast slump of paste backfill material. |
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| Keywords: | Neural network Paste backfill Backfill quality Slump |
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