Browsing: hybrid models

This article discusses the challenges faced by traditional river streamflow forecasting models and introduces novel hybrid models that combine extreme learning machines with mathematical…

In this article, the authors propose a robust model, SVM-SSA, for predicting suspended sediment load in streams using support vector machine and a novel…

A study conducted by Professor Sun Bo and colleagues found that two hybrid machine learning models, MH-CNN-LSTM and MH-CNN-GRU, have great potential in predicting…