| 基于神经网络的墨量控制算法的研究 |
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| 引用本文： | 范增华,高军,李长涛.基于神经网络的墨量控制算法的研究[J].包装工程,2010,31(19). |
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| 作者姓名： | 范增华 高军 李长涛 |
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| 作者单位： | 山东理工大学,淄博,255049;山东理工大学,淄博,255049;山东理工大学,淄博,255049 |
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| 摘 要： | 针对印刷机墨量控制的非线性特性,提出了一种基于改进BP神经网络的PID控制算法。运用神经元的自学习、自适应特点,对检测的印刷品色差缺陷进行实时墨量控制。仿真实验表明:该控制方法具有良好的动、静态性能和较强的鲁棒性与自适应性。
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| 关 键 词： | 墨量控制 神经网络 自学习 |
Study of Ink Control Algorithm Based on Neural Network |
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| FAN Zeng-hua,GAO Jun,LI Chang-tao.Study of Ink Control Algorithm Based on Neural Network[J].Packaging Engineering,2010,31(19). |
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| Authors: | FAN Zeng-hua GAO Jun LI Chang-tao |
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| Affiliation: | FAN Zeng-hua,GAO Jun,LI Chang-tao(Shandong University of Technology,Zibo 255049,China) |
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| Abstract: | Aimed at the non-linear characteristics of printer ink control,a PID control algorithm based on improved BP neural network was presented,and real-time ink control for the color defect of printed matter is realized by applying the self-learning and adaptive features of neuron.The result of simulation test shows that the control method has good steady and dynamic performance as well as strong robustness and adaptability. |
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| Keywords: | ink control neural network self-learning |
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