| 一种基于实时遗传算法的神经元控制 |
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| 引用本文： | 李红星,闫红书.一种基于实时遗传算法的神经元控制[J].电气自动化,2006,28(5):9-10,26. |
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| 作者姓名： | 李红星 闫红书 |
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| 作者单位： | 1. 北京联合大学自动化学院,北京,100101
2. 大连轻工业学院信息科学与工程系,辽宁,大连,116034 |
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| 基金项目： | 辽宁省高等学校科研项目，北京联合大学校科研和教改项目 |
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| 摘 要： | 遗传算法是一种并行、全局优化的有效方法。由于遗传算法的进化过程缓慢，通常使用于离线，很难用于在线的实时优化和控制。该文对遗传算法进行了改进，提出了一种实时遗传算法在线自适应调整神经元增益的控制方法，并对造纸过程的定量水分控制进行了仿真实验，结果表明了该方法的有效性。
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| 关 键 词： | 实时遗传算法 神经元控制 增益自适应调整 |
| 文章编号： | 1000-3886（2006）05-0009-03 |
A Kind of Neuron Control Based on Real-time Genetic Algorithm |
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| Li Hongxing,Yan Hongshu.A Kind of Neuron Control Based on Real-time Genetic Algorithm[J].Electrical Automation,2006,28(5):9-10,26. |
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| Authors: | Li Hongxing Yan Hongshu |
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| Affiliation: | 1,College of Automation, Beijing Union University, Beijing 100101 ;2,Dalian Institute of Light Industry, Dalian 116034 |
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| Abstract: | A genetic algorithm is a parallel global optimization algorithm. Because the evolution of the genetic algorithm is a very slow process, it is usually used in offline and difficultly applied to the task of real-time optimation and control in online. A kind of neuron control method with online adaptive tuning gain using a improved real-time genetic algorithm is presented. This method is applied to control the paper basis weight/moisture of papermaking process. The simulation results show that the method is efficient and advanced. |
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| Keywords: | real-time genetic algorithm neuron control adaptive tuning gain |
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