Development of a short-term prediction model for water levels in low-lying area applying machine learning trained by observed and artificially generated data
Development of a short-term prediction model for water levels in low-lying area applying machine learning trained by observed and artificially generated data
复制标题
应用由观测数据和人工生成数据训练的机器学习，开发低洼地区水位的短期预测模型
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Natsuki Yoshikawa
中科院分区：
文献类型：
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作者：
Masaomi Kimura;Takahiro Ishikawa;Naoto Okumura;Toshiaki Iida;Natsuki Yoshikawa
