Publication | Open Access

Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling

HydrometeorologyConvolutional Neural NetworkRecurrent Neural NetworkEngineeringDeep LearningData ScienceHourly Rainfall-runoff ModelingImproved Computational EfficiencyOne-dimensional CnnHydrological ModelingHydrologyEarth Science