| 木薯酒精发酵过程溶解氧的模型研究 |
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| 引用本文： | 罗启平,党选举,严斌. 木薯酒精发酵过程溶解氧的模型研究[J]. 微计算机信息, 2006, 22(31): 278-280 |
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| 作者姓名： | 罗启平 党选举 严斌 |
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| 作者单位： | 1. 541004,桂林,桂林电子科技大学智能与工业控制研究室C5班
2. 541004,桂林,桂林电子科技大学智能与工业控制研究室 |
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| 摘 要： | 针对木薯酒精发酵过程中溶解氧的模型难以建立的现状,将模糊技术与神经网络相结合,用自适应神经模糊推理系统(ANFIS)对溶解氧进行建模,使用混合学习算法对该模型进行学习,并用未经训练的数据进行模型验证。结果表明,该模型取得满意的逼近效果,具有一定的可操作性,能够较好的解决木薯酒精发酵过程中溶解氧的建模问题。
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| 关 键 词： | 溶解氧 发酵过程 神经网络 建模 |
| 文章编号： | 1008-0570(2006)11-1-0278-03 |
| 修稿时间： | 2006-03-12 |
Research of Dissolved Oxygen Model in Cassava Alcohol Fermentation Process |
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| Luo,Qiping,Dang,Xuanju,Yan,Bin. Research of Dissolved Oxygen Model in Cassava Alcohol Fermentation Process[J]. Control & Automation, 2006, 22(31): 278-280 |
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| Authors: | Luo Qiping Dang Xuanju Yan Bin |
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| Abstract: | Directing against the present state difficult to modeling dissolved oxygen in fermentation process of cassava alcohol,a model- ng method using adaptive neuro- fuzzy inference system is introduced.Mixed learning arithmetic is used to train the model.From the est using untrained data,a good approach effect can be taken.The proposed method is more effective to solve the problem of model- ing the dissolved oxygen in cassava alcohol fermentation process. |
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| Keywords: | dissolved oxygen fermentation process neural network modeling |
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