Time Series Prediction and Neural Networks

By Ray J. Frank, Neil Davey, Stephen P. Hunt. J. Intell. Robotic Syst., 2001

380 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistical and Nonlinear Physics, Signal Processing

View Paper: https://www.semanticscholar.org/paper/96ed4d55a2fd964aa22e5f8fb6e8631ec9e37572

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. David He
2. Guilherme de Alencar Barreto
3. Jason Deutsch

In Signal Processing

1. David He
2. Guilherme de Alencar Barreto

Citations in the corpus

• Time Series Prediction with the Self-Organizing Map: A Review (2007, background): “To our knowledge, this paper is the first of its type, since former surveys on neural networks for time series prediction (see, for example, [44, 18, 64, 13]) only report just a few SOM-based applications (or even none at all!).”
• Using Deep Learning-Based Approach to Predict Remaining Useful Life of Rotating Components (2018, background): “Equations (10) and (11) define a method often called the sliding window technique [33].”