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融合过程驱动与数据驱动的可解释深度学习框架在 ...
亮点 本研究通过融合过程驱动模型(XAJ)与数据驱动模型(LSTM),构建了一个兼具物理机理与非线性关系捕捉能力的混合框架。其中LSTM作为后处理模块修正XAJ模拟残差,结合粒子群优化(PSO)和贝叶斯优化实现参数自动校准,显著提升预报精度。 研究区域与数据 以中国福建省七台河水库流域 ...
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