Evidential-bio-inspired algorithms for modeling groundwater total hardness: A pioneering implementation of evidential neural network for feature selection in water resources management

Environmental Chemistry and Ecotoxicology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Medium and long-term regional water demand prediction using Harris hawks optimisation–backpropagation neural network model

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 13, 2024

Precise water demand prediction is essential for the efficient allocation and rational utilisation of regional resources. This study addressed challenge associated with medium long-term by introducing a novel coupled model, HHO-BPNN (Harris Hawks Optimisation-Backpropagation Neural Network). Principal component analysis was employed to reduce dimensionality potential factors. The performance forecasting models compared through mean square error (MSE), absolute percentage (MAPE), (MAE), coefficient determination (R

Language: Английский

A dual-feature channel deep network with adaptive variable weight reconstruction for urban water demand prediction

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106118 - 106118

Published: Dec. 1, 2024

Language: Английский