Gaussian mutation–orca predation algorithm–deep residual shrinkage network (DRSN)–temporal convolutional network (TCN)–random forest model: an advanced machine learning model for predicting monthly rainfall and filtering irrelevant data - Ehteram, Mohammad; Afshari Nia, Mahdie; Panahi, Fatemeh; Shabanian, Hanieh (Environmental sciences Europe, 2024)
Keywords: Accuracy; Algorithms; Deep learning; Deep learning models; Earth and Environmental Science; Ecotoxicology; Environment; Feature selection; forests; Hybrid models; Hydrologic data; Learning algorithms; Machine learning; Mathematical models; meteorological data; Mutation; Normal distribution; Optimizers; Parameters; Particle swarm optimization; Pollution; Predation; prediction; Predictions; Predictive analytics; rain; Rainfall; Root-mean-square errors; shrinkage; system optimization; Temporal variations; Water monitoring; Water resources; Deep learning models; Feature selection; Hybrid models; Optimizers