机器学习与统计模型在石羊河流域气候降尺度研究中的适用性对比

宫毓来, 马绍休, 刘伟琦

A comparative study of machine learning and statistical models in climate downscaling in the Shiyang River Basin

Yulai Gong, Shaoxiu Ma, Weiqi Liu

表4 模型名称及简写

Table 4 The name of the downscaling model

序号 模型名称 英文名称及缩写 1 分位数映射法 Quantile Mapping (QM) 2 多元线性回归 Multiple linear regression (MLR) 3 支持向量回归+Z-score Support Vector Regression (SVR-Z) 4 人工神经网络+Z-score Artificial Neural Network (ANN-Z) 5 极限学习机+Z-score Extreme Learning Machine (ELM-Z) 6 卷积长短时记忆网络+Z-score Convolutional Long Short-term Memory (ConvLSTM-Z) 7 支持向量回归+Minmax Support Vector Regression (SVR-M) 8 人工神经网络+Minmax Artificial Neural Network (ANN-M) 9 极限学习机+Minmax Extreme Learning Machine (ELM-M) 10 卷积长短时记忆网络+Minmax Convolutional Long Short-term Memory (ConvLSTM-M)