| BP神经网络在矫直机弯辊控制系统的应用 |
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| 引用本文： | 杨红光,胡鹰. BP神经网络在矫直机弯辊控制系统的应用[J]. 机械工程与自动化, 2012, 0(3): 141-143 |
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| 作者姓名： | 杨红光 胡鹰 |
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| 作者单位： | 太原科技大学重型机械教育部工程研究中心,山西太原,030024 |
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| 基金项目： | 973计划前期研究专项基金资助项目(2011CB612204);国家自然科学基金资助项目(51105264);山西省基础研究项目(2011021019-4) |
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| 摘 要： | 中厚板弯辊矫直是一个多变量、强耦合、非线性的过程,因此,建立精确的数学模型非常困难.针对此问题,提出利用BP神经网络作为辊式矫直机弯辊量控制器的解决方法.利用钢厂的经验样本训练隐层神经元为不同个数、训练函数和学习函数为不同函数的BP神经网络,从中选择学习速度快、稳定性好的BP网络作为辊式矫直机弯辊量的控制器.
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| 关 键 词： | 弯辊量 辊式矫直机 BP神经网络 |
Application of BP Neural Network in Bending Roll Control System of Straightener |
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| YANG Hong-guang , HU Ying. Application of BP Neural Network in Bending Roll Control System of Straightener[J]. Mechanical Engineering & Automation, 2012, 0(3): 141-143 |
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| Authors: | YANG Hong-guang HU Ying |
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| Affiliation: | (Engineering Research Center for Heavy Machinery,Department of Education,Taiyuan University of Science and Technology,Taiyuan 030024,China) |
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| Abstract: | The straightening of medium and heavy plate is a multivariable,strong coupling and nonlinear process,establishing an accurately mathematical model is very difficult.For this issue,a solution regarding BP neural network as the bending roll controller of the straightener is proposed.Using the examples from steel factory trains the BP neural networks which have different number of hidden layer neurons,different training function and learning function.And then the BP network with quick learning speed and well stability is chosen as the bending roll controller of the straightener. |
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| Keywords: | roller bending value roll straightener BP neural network |
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