|
|||||
|
|
| 啤酒糟旋转闪蒸干燥过程建模与优化 | |
| 引用本文： | 冯殿义,赵波,常勇.啤酒糟旋转闪蒸干燥过程建模与优化[J].食品与机械,2005,22(4):41-43. |
| 作者姓名： | 冯殿义 赵波 常勇 |
| 作者单位： | 1. 辽宁工学院机械与自动化学院,辽宁,锦州,121001 2. 锦州输油气公司,辽宁,锦州,121000 3. 哈尔滨啤酒,锦州,有限公司,辽宁,锦州,121000 |
| 摘 要： | 对啤酒糟旋转闪蒸干燥过程进行了实验研究。应用改进的BP神经网络对干燥过程建模，并基于该模型采用遗传算法进行优化计算，给出在一定生产能力条件下，满足产品湿度要求的最佳操作参数，使能耗最低。结果表明该模型具有较高的精度，优化结果对实际干燥过程的操作具有指导作用。 |
| 关 键 词： | 旋转闪蒸干燥 过程优化 神经网络 遗传算法 最佳 温度 优化计算 过程建模 啤酒糟 BP神经网络 |
| 收稿时间： | 2005-03-09 |
| 修稿时间： | 2005年3月9日 |
Process modeling and optimizing for the drying deer lees in the cyclone dryer based-on ANN and GA |
|
| FENG Dian-yi,ZHOU Bo,CHANG Yong.Process modeling and optimizing for the drying deer lees in the cyclone dryer based-on ANN and GA[J].Food and Machinery,2005,22(4):41-43. | |
| Authors: | FENG Dian-yi ZHOU Bo CHANG Yong |
| Abstract: | Experiments were carried out in real production to investigate the process of the drying beer lees in the cyclone dryer. The model of the drying process is established by applying BP-ANN, and optimizing for the process is carried out by the use of the GA. The optimum operation temperature that meets humidity need is given in certain output. The experiment results show that accuracy of the ANN model is high. The conclusion has practical applieation. |
| Keywords: | Cyclone dryness Process optimization Neural network Genetic algorithm Optimum temperature |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |