| 用人工神经网络确定跳汰分选指标及最佳操作 |
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| 引用本文： | 朱金波,曹以龙,李贤国,贾长龄,陈清如. 用人工神经网络确定跳汰分选指标及最佳操作[J]. 中国矿业大学学报, 1999, 28(2): 145-148 |
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| 作者姓名： | 朱金波 曹以龙 李贤国 贾长龄 陈清如 |
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| 作者单位： | 1. 淮南工业学院材料科学系,淮南,232001
2. 中国矿业大学能源利用与化学工程系,徐州,221008 |
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| 摘 要： | 在实际分选资料的基础上，人工神经网络可学习操作因素和分选指标的映射关系，用计算机经２５００００次训练学习后，所映射的关系达很高的精度；利用它预测了一定操作条件下分选指标，并确定了最佳操作参数；实验验证了用人工神经网络所得的结果
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| 关 键 词： | 跳汰选煤，人工神经网络，分选指标，操作因素 |
| 修稿时间： | 1998-04-01 |
Ascertainment of Indexes for Jjgging Separation and Its Optimum Operation by Using Artificial Neural Network |
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| Zhu Jinbo,Cao Yilong,Li Xianguo,Jia Changling,Chen Qingru. Ascertainment of Indexes for Jjgging Separation and Its Optimum Operation by Using Artificial Neural Network[J]. Journal of China University of Mining & Technology, 1999, 28(2): 145-148 |
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| Authors: | Zhu Jinbo Cao Yilong Li Xianguo Jia Changling Chen Qingru |
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| Abstract: | On the basis of floatation experiments,the artifial neural network can learn the relation between the factors in jigging operation and the separate indexes. Having been trained for 250000 times by computer,the map relation reaches a high accuracy. The separation indexes were predicted by using the method under a certain operation condition, and the optimum operation parameters were also ascertained. The result is proved to tally with the actual situation by the experiments. |
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| Keywords: | coal jigging artificial neural network separate index operation factor |
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