A simple Mathematical Fuzzy Model of Brain Emotional Learning to Predict Kp Geomagnetic Index
| Autor: | Ehsan Lotfi, Azita Keshavarz |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Cognitive science
Quantitative Biology::Neurons and Cognition Chaotic time series business.industry Computer science Computational model Fuzzy model Chaotic Amygdala Computer Graphics and Computer-Aided Design Fuzzy logic BELBIC Geomagnetic index Correlation Artificial Intelligence Control and Systems Engineering Simple (abstract algebra) Social emotional learning Applied mathematics Artificial intelligence business Cognitive science Amygdala Computational model BELBIC Chaotic time series Information Systems |
| Zdroj: | International Journal of Intelligent Systems and Applications in Engineering; Vol. 2 No. 2 (2014); 22-25 Volume: 2, Issue: 2 22-25 International Journal of Intelligent Systems and Applications in Engineering |
| ISSN: | 2147-6799 |
| Popis: | In this paper, we propose fuzzy mathematical model of brain limbic system (LS) which is responsible for emotional stimuli. Here the proposed model is utilized to predict the chaotic activity of the earth’s magnetosphere. Numerical results show that the correlation of the results obtained from the proposed fuzzy model is higher than non-fuzzy models. Hence, the proposed model can be applied in real time chaotic time series prediction. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|