Groundwater-level forecasting under climate change scenarios using an artificial neural network trained with particle swarm optimization
(2014)
Journal Article
Tapoglou, E., Trichakis, I. C., Dokou, Z., Nikolos, I. K., & Karatzas, G. P. (2014). Groundwater-level forecasting under climate change scenarios using an artificial neural network trained with particle swarm optimization. Hydrological Sciences Journal, 59(6), 1225-1239. https://doi.org/10.1080/02626667.2013.838005
Artificial neural networks (ANNs) have recently been used to predict the hydraulic head in well locations. In the present work, the particle swarm optimization (PSO) algorithm was used to train a feed-forward multi-layer ANN for the simulation of hyd... Read More about Groundwater-level forecasting under climate change scenarios using an artificial neural network trained with particle swarm optimization.