| 基于MATLAB的胶结充填材料BP神经网络质量模型 |
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| 引用本文： | 崔明义,孙恒虎.基于MATLAB的胶结充填材料BP神经网络质量模型[J].有色金属,2003,55(1):121-123. |
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| 作者姓名： | 崔明义 孙恒虎 |
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| 作者单位： | 中国矿业大学北京校区资源开发系,100083 |
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| 摘 要： | 用BP神经网络的方法建立胶结充填材料质量与主要影响因素胶结剂，浓度，骨料，温度和粒级的关系模型，并用MATLAB实现对该模型的训练和系统仿真，不论用什么样的骨料和胶结剂，只要用一定的试验数据对模型进行训练，然后对拟采用的胶结充填材料进行仿真，均可得到较为可靠的目标参数。
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| 关 键 词： | 采矿工程 胶结充填材料 BP神经网络 MATLAB 建模 系统仿真 |
| 文章编号： | 1001-0211(2003)01-0121-03 |
| 修稿时间： | 2002年3月5日 |
BP Neural Networks Quality Model of Binder Backfill Material Based on MATLAB |
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| CUI Mingyi,SUN Henghu.BP Neural Networks Quality Model of Binder Backfill Material Based on MATLAB[J].Nonferrous Metals,2003,55(1):121-123. |
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| Authors: | CUI Mingyi SUN Henghu |
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| Abstract: | The model of the relationship between the binder backfill material quality and the main influencing factors such as binder, density, aggregate, temperature and fineness is established by the BP neural networks method and the relation model is trained and system simulation is implemented by MATLAB Whatever the aggregate and binder are used, the satisfied quality targets are achieved as long as training the model with certain experimental data before the system simulation on the adopted binder backfill materials |
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| Keywords: | mining engineering binder backfill material BP neural networks MATLAB modeling system simulation |
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