What machine learning algorithm is best suited for predicting short-term tidal current velocities using historical data and real-time sensor inputs?

A Recurrent Neural Network (RNN), specifically a Long Short-Term Memory (LSTM) network, is generally best suited for predicting short-term tidal current velocities using historical data and real-time sensor inputs due to its ability to effectively capture temporal dependencies and long-range patterns in sequential data. Tidal current velocities exhibit strong temporal dependencies, meaning that the current velocity at a given time is highly correlated with the current velocities at previous times. RNNs are a class of neural networks designed to process sequential data by maintaining a hidden state that captures information about past inputs. This allows them to learn and predict patterns th....