A simple Mathematical Fuzzy Model of Brain Emotional Learning to Predict Kp Geomagnetic Index
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2014, Vol 2, Issue 2
Abstract
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.
Authors and Affiliations
Ehsan Lotfi *| Department of Computer Engineering, Torbat-e-Jam Branch, Islamic Azad University, Torbat-e-Jam, Iran, A. Keshavarz| Department of Psychology, Torbat-e-Jam Branch, Islamic Azad University, Torbat-e-Jam, Iran
Keywords
Related Articles
- EP ID EP749
- DOI -
- Views 602
- Downloads 41
Epileptic State Detection: Pre-ictal, Inter-ictal, Ictal
Epileptic seizure detection and prediction from electroencephalography (EEG) is a vital area of research. In this study, Second-Order Difference Plot (SODP) is used to extract features based on consecutive difference of...
Application of ANN Modelling of Fire Door Resistance
Fire doors are compulsorily used in every kind of building nowadays. The determination of fire doors’ resistance in which kind of buildings is also essential. This determination is needed to be watched through the experi...
Adaptive Control Solution for a Class of MIMO Uncertain Underactuated Systems with Saturating Inputs
This paper addresses the issue of controller design for a class of multi-input multi-output (MIMO) uncertain underactuated systems with saturating inputs. A systematic controller framework, composed of a hierarchically g...
Fuzzy approach to estimate the demand and supply quantitative imbalance at the labor market of information technology specialists
This document considers the processes of modelling supply and demand interactions in the labour market for information technology experts (IT professionals) and management of their quantitative disparity at the macro lev...
Banknote Classification Using Artificial Neural Network Approach
In this study, clustering process has been performed using artificial neural network (ANN) approach on the pictures belonging to our dataset to determine if the banknotes are genuine or counterfeit. Four input parameter...