| 基于神经网络和遗传算法的生化过程状态预估及优化控制 |
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| 引用本文： | 须文波,冯斌,黄佳.基于神经网络和遗传算法的生化过程状态预估及优化控制[J].江南大学学报(自然科学版),2003,2(4):343-347. |
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| 作者姓名： | 须文波 冯斌 黄佳 |
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| 作者单位： | 江南大学,信息工程学院,江苏,无锡,214036 |
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| 摘 要： | 提出一种基于模糊推理的误差预测补偿系统，用于修正生化过程中预估神经网络模型的预测输出，以提高预测精度，并采用遗传算法建立生化过程的在线优化体系．通过对谷氨酸发酵过程仿真，表明该系统的应用是有效的．
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| 关 键 词： | 模糊推理 误差预测补偿 遗传算法 在线优化 |
| 文章编号： | 1671-7147(2003)04-0343-05 |
| 修稿时间： | 2003年1月17日 |
Prediction and Optimization Control in Biochemical Process Based on Neural Network and Genetic Algorithms |
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| XU Wen-bo,FENG Bin,HUANG Jia.Prediction and Optimization Control in Biochemical Process Based on Neural Network and Genetic Algorithms[J].Journal of Southern Yangtze University:Natural Science Edition,2003,2(4):343-347. |
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| Authors: | XU Wen-bo FENG Bin HUANG Jia |
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| Abstract: | Based on fuzzy theory a kind of error prediction and compensation system is presented. It can be used to correct the predictive output of neural network to improve the predictive precision in biochemical process. Besides, the on-line optimization architecture based on genetic algorithms(GA) for biochemical process is established. The simulation result indicates the system is effective. |
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| Keywords: | fuzzy theory error prediction and compensation genetic algorithms online optimization |
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