Toolboxes & Code Repositories
LSTCN
Long Short-term Cognitive Network (LSTCN) model for time series forecasting
Description:
The Long Short-term Cognitive Network (LSTCN) model [1] is an efficient recurrent neural network for time series forecasting. It supports both one-step-ahead and multiple-step-ahead forecasting of univariate and multivariate time series. The LSTCN model is competitive compared to state-of-the-art recurrent neural networks such as LSTM and GRU in terms of forecasting error while being much faster.
More Information:
Originates from the AI-Driven Data Science research challenge (FAIR 2019–2023).
Responsible Research Lead: Inneke Van Nieuwenhuyse
Authors: Inneke Van Nieuwenhuyse, Alejandro Morales Hernández
Programming Language: Python
Categories: Time series