| 基于改进型BP神经网络的湿重软测量 |
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| 引用本文： | 孙瑜,周强,王孟效.基于改进型BP神经网络的湿重软测量[J].中国造纸学报,2003,18(1):114-118. |
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| 作者姓名： | 孙瑜 周强 王孟效 |
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| 作者单位： | 陕西科技大学过程控制研究所,陕西咸阳,712081 |
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| 摘 要： | 针对制浆造纸工业中湿重无法在线测量的难题，分析了湿重值与进浆流量、打浆浓度、打浆电流及原湿重值等参数的关系。提出了基于改进型BP神经网络的湿重软测量技术。成功的完成了湿重在线检测。
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| 关 键 词： | 制浆造纸 湿重 改进型BP神经网络 在线测量 软测量 |
| 文章编号： | 1000-6842(2003)01-0114-05 |
| 修稿时间： | 2003年4月10日 |
Wet Weight's Soft Measuring Based on Improved BP Neural Network |
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| Sun Yu,Zhou Qiang Wang Mengxiao.Wet Weight''''s Soft Measuring Based on Improved BP Neural Network[J].Transactions of China Pulp and Paper,2003,18(1):114-118. |
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| Authors: | Sun Yu Zhou Qiang Wang Mengxiao |
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| Affiliation: | Sun Yu * Zhou Qiang Wang Mengxiao |
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| Abstract: | Considering the wet weight of pulp can not be on line measured presently, the relationship between wet weight of pulp and electric currency, consistency and pulp flow in refining as well as the original wet weight of the pulp etc. is analyzed, the soft measuring technique based on improved BP neural network is proposed in this paper. This method is applied to wet weight on line measure. |
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| Keywords: | wet weight neural network BP algorithm |
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