Name
Abstract | ||
|---|---|---|
In this paper, we used four types of artificial neural network (ANN) to predict the behavior of chaotic time series. Each neural network that used in this paper acts as global model to predict the future behavior of time series. Prediction process is based on embedding theorem and time delay determined by this theorem. This ANN applied to the time series that generated by Mackey-glass equation that has a chaotic behavior. At the end, all neural networks are used to solve this problem and their results are compared and analyzed. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3233/JCM-160643 | JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING |
Keywords | Field | DocType |
Artificial neural network (ANN), chaotic systems, Mackey-glass (MG), prediction, time series | Chaotic time series prediction,Computer science,Stochastic neural network,Types of artificial neural networks,Time delay neural network,Artificial intelligence,Artificial neural network | Journal |
Volume | Issue | ISSN |
16 | 3 | 1472-7978 |
Citations | PageRank | References |
6 | 0.82 | 31 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marjan Kuchaki Rafsanjani | 1 | 76 | 16.18 |
| Meysam Samareh | 2 | 6 | 0.82 |