| 人工神经网络和遗传算法在生物载体填料生产工艺中的应用 |
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| 引用本文： | 李敏,滕济林,于洸,李星伟.人工神经网络和遗传算法在生物载体填料生产工艺中的应用[J].重庆环境科学,2003,25(11):37-38. |
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| 作者姓名： | 李敏 滕济林 于洸 李星伟 |
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| 作者单位： | [1]清华大学水利水电工程系水沙科学教育部重点实验室，北京100084 [2]国电电力建设研究所，北京100055 |
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| 摘 要： | 本文应用BP人工神经网络建立了生物流化床污水处理工艺中新型生物载体填料的生产工艺参数与填料磨损破碎率和松散容重之间的关系，并运用遗传算法对填料的生产工艺进行了优化。结果表明：填料的最佳生产工艺参数为：EVA含量14％；活性炭含量3．6％；胶粉粒度18.97目。此时，填料的磨损破碎率和松散容量均达到最优值，分别为0．358％和0．226kg／L。这一优化结果对生物载体填料的实际生产加工具有指导意义。
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| 关 键 词： | 生物填料 磨损破碎率 松散容重 人工神经网络 遗传算法 |
| 文章编号： | 1001-2141(2003)11-0037-02 |
| 修稿时间： | 2002年8月30日 |
Application of Artificial Neural Networks and Genetic Algorithm in Optimizing the Production Process of Biological Carriers |
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| Li Min,Teng Jilin.Application of Artificial Neural Networks and Genetic Algorithm in Optimizing the Production Process of Biological Carriers[J].Chongqing Environmental Science,2003,25(11):37-38. |
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| Authors: | Li Min Teng Jilin |
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| Abstract: | The relationships between wear resistance and loosen volumeweight of biological carriers and production process parameters were established by using artificial neural networks.The process parameters were optimized with genetic algorithm.The results show that the optimized process parameters were:EVA content 14%,active carbon content 3.6%,screen mesh of rubber powder 18.97.On this condition,the wear resistance and loosen volumeweight of carriers were 0.358% and 0.226g/mL,respectively.This result is very instructive to the manufacturing process of carriers. |
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| Keywords: | biological carrier wear resistance loosen volumeweight artificial neutral networks genetic algorithm |
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