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5. Machine learning for pore-water pressure time-series prediction:Application of recurrent neural netw

Machine learning for pore-water pressure time-series prediction:Application of recurrent neural netw

来源 :地学前缘:英文版 | 被引量 : 0次 | 上传用户：guizhong1121

【摘 要】

：

Knowledge of pore-water pressure(PWP)variation is fundamental for slope stability.A precise prediction of PWP is difficult due to complex physical mechanisms an

【作 者】

：

Xin Wei Lulu Zhang Hao-Qing Ya 

【机 构】

：

StateKeyLaboratoryofOceanEngineering,CollaborativeInnovationCenterforAdvancedShipandDeep-SeaExplorat

【出 处】

：

地学前缘:英文版

【发表日期】

：

2021年1期

【关键词】

：

Pore-water pressure SLOPE Multi-layer perceptron Recurrent neural networks Long 

【基金项目】

：

supported by the Natural Science Foundation of China(Grant Nos.51979158,51639008,51679135,and 51422905),the Program of Shanghai Academic Research Leader by Science and Technology Commission of Shangha

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Knowledge of pore-water pressure(PWP)variation is fundamental for slope stability.A precise prediction of PWP is difficult due to complex physical mechanisms and in situ natural variability.To explore the applicability and advantages of recurrent neural n

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