...
首页> 外文期刊>Network Daily News >Findings from China Agricultural University Broaden Understanding of Mathematics (Predicting Membrane Fouling In a High Solid Anmbr Treating Ofmsw Leachate Through a Genetic Algorithm and the Optimization of a Bp Neural Network Model)
【24h】

Findings from China Agricultural University Broaden Understanding of Mathematics (Predicting Membrane Fouling In a High Solid Anmbr Treating Ofmsw Leachate Through a Genetic Algorithm and the Optimization of a Bp Neural Network Model)

机译:中国农业大学的发现扩大了对数学的理解(预测膜污染在高固体ANMBR中通过遗传算法和BP神经网络模型的优化来治疗MSW渗滤液)

获取原文
获取原文并翻译 | 示例

摘要

By a News Reporter-Staff News Editor at Network Daily News - Current study results on Mathematics have been published. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Anaerobic membrane bioreactors are a promising technology in the treatment of high-strength wastewater; however, unpredictable membrane fouling largely limits their scale-up application. This study, therefore, adopted a backpropagation neural network model to predict the membrane filtration performance in a sub-merged system, which treats leachate from the organic fraction of municipal solid waste.”
机译:由Network Daily News的新闻记者播放器新闻编辑 - 当前有关数学的研究结果已发表。 根据新闻Repucer,NewsRX编辑在北京的新闻报道中,研究指出:“厌氧膜生物反应器是治疗高强度废水的有前途的技术。 但是,不可预测的膜结垢在很大程度上限制了其扩大应用。 因此,这项研究采用了返回神经网络模型,以预测亚合并系统中的膜过滤性能,该系统可将渗滤液从市政固体废物的有机分数中处理。”

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号