Long-term time series prediction with the NARX network: An empirical evaluation

By José Maria P. Menezes, Guilherme de Alencar Barreto. Neurocomputing, 2008

459 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/291d7c17f681c88d499508fa3549610bf2062e20

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Trung-Quôc Le
2. Egidio Falotico
3. Cecilia Laschi
4. Satish T. S. Bukkapatnam
5. O. Beyca
6. Akkarapol Sa-ngasoongsong
7. Changqing Cheng
8. Federico Renda

In Cognitive Neuroscience

1. Cecilia Laschi

Citations in the corpus

• Time series forecasting for nonlinear and non-stationary processes: a review and comparative study (2015, background): “Menezes and Barreto (2008) built a recurrent network structure of nonlinear AR models with exogenous input for multi-step forecasting of chaotic time series.”
• Model-Based Reinforcement Learning for Closed-Loop Dynamic Control of Soft Robotic Manipulators (2019, background): “This makes the model more accurate for long-term predictions [31].”