Add to ORKGCopyright © 2015 C. H. López-Caraballo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. An artificial neural network (ANN) based on particle swarm optimization (PSO) was developed for the time series prediction. The hybrid ANN+PSO algorithm was applied on Mackey-Glass chaotic time series in the short-ter
To predict the 100 missing values from the time series consisting of 5000 data given for the IJCNN 2...
The predictions for the original chaos patterns can be used to correct the distorted chaos pattern w...
To predict the 100 missing values from a time series of 5000 data points, given for the IJCNN 2004 t...
Interest in chaotic time series prediction has grown in recent years due to its multiple application...
Many biological systems and natural phenomena exhibit chaotic behaviors that are saved in time serie...
Optimization is required for producing the best results. Heuristic algorithm is one of the technique...
2013 10th International Conference on Electronics, Computer and Computation, ICECCO 2013 --7 Novembe...
The main advantage of detecting chaos is that the time series is short term predictable. The predict...
The prediction of chaotic dynamical systems’ future evolution is widely debated and represents a hot...
A unique technique based on chaos theory and artificial neural networks (ANN) is developed to analys...
Time series prediction techniques have been used in many real-world applications such as financial m...
Time series forecasting is an important and widely popular topic in the research of system modeling....
Time series forecasting is a very important research area because of its practical application in m...
Neuronske mreže moćan su statistički alat, utoliko da ih je možda i pogrešno tako nazvati. Pokazuju ...
WOS: 000472482200003Time series prediction is a remarkable research interest that is widely followed...
To predict the 100 missing values from the time series consisting of 5000 data given for the IJCNN 2...
The predictions for the original chaos patterns can be used to correct the distorted chaos pattern w...
To predict the 100 missing values from a time series of 5000 data points, given for the IJCNN 2004 t...
Interest in chaotic time series prediction has grown in recent years due to its multiple application...
Many biological systems and natural phenomena exhibit chaotic behaviors that are saved in time serie...
Optimization is required for producing the best results. Heuristic algorithm is one of the technique...
2013 10th International Conference on Electronics, Computer and Computation, ICECCO 2013 --7 Novembe...
The main advantage of detecting chaos is that the time series is short term predictable. The predict...
The prediction of chaotic dynamical systems’ future evolution is widely debated and represents a hot...
A unique technique based on chaos theory and artificial neural networks (ANN) is developed to analys...
Time series prediction techniques have been used in many real-world applications such as financial m...
Time series forecasting is an important and widely popular topic in the research of system modeling....
Time series forecasting is a very important research area because of its practical application in m...
Neuronske mreže moćan su statistički alat, utoliko da ih je možda i pogrešno tako nazvati. Pokazuju ...
WOS: 000472482200003Time series prediction is a remarkable research interest that is widely followed...
To predict the 100 missing values from the time series consisting of 5000 data given for the IJCNN 2...
The predictions for the original chaos patterns can be used to correct the distorted chaos pattern w...
To predict the 100 missing values from a time series of 5000 data points, given for the IJCNN 2004 t...