time series net

A time series net is a type of neural network that is specifically designed for time series forecasting. It is a type of recurrent neural network that takes in a sequence of historical data and predicts future values based on patterns in the data. Time series nets can be trained using a variety of techniques, including backpropagation through time (BPTT) and long short-term memory (LSTM). They are commonly used in fields such as finance, economics, and weather forecasting.