Chaotic Time Series Prediction Model for Fractional-Order Duffing's Oscillator

2021 ◽  
Author(s):  
Kishore Bingi ◽  
B Rajanarayan Prusty
Keyword(s):  
Time Series ◽  
Prediction Model ◽  
Fractional Order ◽  
Time Series Prediction ◽  
Chaotic Time Series ◽  
Chaotic Time Series Prediction

Influence of Noise to Chaotic Time Series Prediction in Environment

2013 ◽  
Vol 340 ◽  
pp. 896-900 ◽  
Author(s):  
Qing Jun Shi ◽  
Yang Liu ◽  
Jing Li ◽  
Hui Bin Ma ◽  
De Sheng Liu ◽  
...  
Keyword(s):  
Time Series ◽  
Prediction Model ◽  
Time Series Prediction ◽  
Chaotic Time Series ◽  
Good Prediction ◽  
Bp Artificial Neural Network ◽  
Good Prediction Performance ◽  
Emission Time ◽  
Chaotic Time Series Prediction ◽  
Influence Of Noise

When constructing chaotic time series prediction model involving noise, noise would influence the chaotic characteristics of the time series and lower the precision and generalization ability of the model. This paper applies wavelet transform to make de-noise on gas emission time series. It uses state space reconstruction theory to determine the embedding dimension and delay time. In the constructed phase space, build BP artificial neural network model to make prediction. Prediction model constructed after wavelet de-noises achieves good prediction performance.

Sign in / Sign up

Export Citation Format

Share Document