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Applying Machine Learning and High Performance Computing to Water Quality Assessment and Prediction

机译：应用机器学习和高性能计算到水质评估和预测

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Ruijian Zhang; Deren Li;
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年度 2017
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1. Applying Machine Learning and High Performance Computing to Water Quality Assessment and Prediction [J] . Ruijian Zhang, Deren Li Advances in Science, Technology and Engineering Systems . 2017,第6期

机译：将机器学习和高性能计算应用于水质评估和预测
2. Comparison of the performance of decision tree (DT) algorithms and extreme learning machine (ELM) model in the prediction of water quality of the Upper Green River watershed [J] . Anmala Jagadeesh, Turuganti Venkateswarlu Water Environment Research . 2021,第11期

机译：决策树（DT）算法和极端学习机（ELM）模型在上绿河流域水质预测中的性能比较
3. Comparative analysis of surface water quality prediction performance and identification of key water parameters using different machine learning models based on big data [J] . Chen Kangyang, Chen Hexia, Zhou Chuanlong, Water Research . 2020,第Mara15期

机译：基于大数据的不同机器学习模型对地表水水质预测性能的比较分析和关键水参数的识别
4. Applying fuzzy logic and machine learning techniques in financial performance predictions [C] . Adrian Costea International Conference on Applied Statistics . 2014

机译：应用模糊逻辑与机器学习技术在财务性能预测中
5. Performance and Power Prediction of Compute Accelerators Using Machine Learning [D] . O'Neal, Kenneth Norman Lee. 2018

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6. Performance of Prediction Models for Diagnosing Severe Aortic Stenosis Based on Aortic Valve Calcium on Cardiac Computed Tomography: Incorporation of Radiomics and Machine Learning [O] . Nam gyu Kang, Young Joo Suh, Kyunghwa Han, 2021

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7. Applying Fuzzy Logic and Machine Learning Techniques in Financial Performance Predictions [O] . Costea Adrian 2014

机译：模糊逻辑和机器学习技术在财务绩效预测中的应用

Applying Machine Learning and High Performance Computing to Water Quality Assessment and Prediction

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