| 基于径向基函数(RBF)网络在线建模的白炭黑反应釜系统的设计与实现 |
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| 引用本文： | 李慧,徐文尚,李迪,刘杰,孙运营.基于径向基函数(RBF)网络在线建模的白炭黑反应釜系统的设计与实现[J].化工自动化及仪表,2012,39(1):40-43. |
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| 作者姓名： | 李慧 徐文尚 李迪 刘杰 孙运营 |
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| 作者单位： | 山东科技大学信息与电气工程学院,山东青岛,266510 |
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| 摘 要： | 选用径向基函数神经网络建立pH值和浓度的模型,克服了在白炭黑生产过程中采用负梯度下降法调节反应釜溶液pH值和浓度时存在收敛速度慢和局部极小等缺点。实际应用表明:其速度和精度完全达到了工艺上对pH值和浓度的控制要求。
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| 关 键 词： | pH值 浓度 径向基函数神经网络 白炭黑反应釜 自动控制系统 |
RBF-based White Carbon Black Reactor System Design and Implementation |
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| LI Hui
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XU Wen-shang
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LI Di
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LIU Jie
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SUN Yun-ying.RBF-based White Carbon Black Reactor System Design and Implementation[J].Control and Instruments In Chemical Industry,2012,39(1):40-43. |
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| Authors: | LI Hui XU Wen-shang LI Di LIU Jie SUN Yun-ying |
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| Affiliation: | (College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao 266510, China) |
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| Abstract: | The RBF neural network was chosen to build pH value and concentration models and to adjust reactor solution so that slow convergence speed and relative minimum and other weakness of negative gradient descent method can be controlled. Actual application shows that both speed and precision can meet the requirement of pH value and concentration control. |
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| Keywords: | pH value concentration RBF white carbon black agitated reactor auto-control system |
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