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Prediction of Dissolved Oxygen Content in Aquaculture Based on Clustering and Improved ELM

机译：基于聚类和改进的ELM的水产养殖中溶解氧含量的预测

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Shouqi Cao; Lixin Zhou; Zheng Zhang;
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1. Prediction of dissolved oxygen content in aquaculture using Clustering-based Softplus Extreme Learning Machine [J] . Shi Pei, Li Guanghui, Yuan Yongming, Computers and Electronics in Agriculture . 2019,第期

机译：基于聚类的Softplus极限学习机预测水产养殖中溶解氧含量的预测
2. Prediction of Dissolved Oxygen Content in Aquaculture of Sea Cucumber Using Support Vector Regression [J] . Yaoguang Wei, Daoliang Li, Haijiang Tai, Sensor Letters: A Journal Dedicated to all Aspects of Sensors in Science, Engineering, and Medicine . 2011,第3期

机译：基于支持向量回归的海参水产养殖中溶解氧含量预测
3. Prediction of dissolved oxygen content in river crab culture based on least squares support vector regression optimized by improved particle swarm optimization. [J] . Liu ShuangYin, Xu LongQin, Li DaoLiang, Computers and Electronics in Agriculture . 2013,第Null期

机译：基于最小二乘支持向量回归的河蟹养殖中溶解氧含量的预测，该向量通过改进的粒子群算法进行优化。
4. Prediction of Dissolved Oxygen Content in Aquaculture of Hyriopsis Cumingii Using Elman Neural Network [C] . Shuangyin Liu, Mingxia Yan, Haijiang Tai, IFIP TC 5/SIG 5.1 conference on computer and computing technologies in agriculture;CCTA 2011 . 2011

机译：用埃尔曼神经网络预测南美锥虫水产养殖中的溶解氧含量
5. Fluorescence studies of inner filter effects, oxygen quenching, and the phenolic content of dissolved organic carbon. [D] . Pagano, Todd. 2010

机译：内部过滤器效应，氧猝灭和溶解的有机碳中酚含量的荧光研究。
6. A hybrid intelligent method for three-dimensional short-term prediction of dissolved oxygen content in aquaculture [O] . Yingyi Chen, Huihui Yu, Yanjun Cheng, 2012

机译：水产养殖中溶解氧含量三维短期预测的混合智能方法
7. Prediction of Dissolved Oxygen Content in Aquaculture of Hyriopsis Cumingii Using Elman Neural Network [O] . Liu, Shuangyin, Yan, Mingxia, Tai, Haijiang, 2011

机译：埃尔曼神经网络预测南美锥虫水产养殖中的溶解氧含量
8. Surface Water Pumps to Improve Dissolved Oxygen Content of Hydropower Releases [R] . Mobley, M. H., Brock, W. G., Tyson, W., 2008

机译：地表水泵提高水电站释放溶解氧含量

Prediction of Dissolved Oxygen Content in Aquaculture Based on Clustering and Improved ELM

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