A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing
The dissertation aims to develop an effectively decomposed time-series nongradient- based artificial intelligence model for forecasting a time-series regression machine learning task. Real-world optimizations, such as forecasting streamflow, are a complicated process that is highly non-linear and mu...
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| Format: | Thesis |
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2024
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| Online Access: | http://studentsrepo.um.edu.my/15404/1/Wei_Yaxing.pdf http://studentsrepo.um.edu.my/15404/2/Wei_Yaxing.pdf http://studentsrepo.um.edu.my/15404/ |
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