Multi-task learning using non-linear autoregressive models and recurrent neural networks for tide level forecasting

Exploring foci of: International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering • Vol 14 • No 1 Multi-task learning using non-linear autoregressive models and recurrent neural networks for tide level forecasting November 2023 • Nerfita Nikentari, Hua‐Liang Wei Tide level forecasting plays an important role in environmental management and development. Current tide level forecasting methods are usually implemented for solving single task problems, that is, a model built based on the tide level data at an individual location is only used to forecast tide level of the same location but is not used for tide forecasting at another location. This study proposes a new method for tide level prediction at multiple locations simultaneously. The method combines nonlinear autoregres… Open Article Page

Computer Science Recurrent Neural Network Artificial Intelligence Machine Learning Deep Learning Time Series Engineering Mathematics Systems Engineering Open Article