Paper Info
Title
Emotional Brain-Inspired Adaptive Fuzzy Decayed Learning For Online Prediction Problems
Abstract
In this paper, we propose a Fuzzy Adaptive Brain-Inspired Emotional Decayed Learning named Fuzzy ADBEL. Fuzzy ADBEL is a computational model that models the forgetting process and inhibitory mechanism of the emotional brain. In the model, the fuzzy decay rate simulates the forgetting process, and the stimulus and learning weights are considered as fuzzy variables trained by fuzzy learning rules. The final output of the model is evaluated by a fuzzy decision making layer that simulates the inhibitory mechanism. The proposed Fuzzy ADBEL is utilized to predict the Kp, AE and Dst indices showing opposite behaviors and characterizing the chaotic activity of the earth's magnetosphere. Experimental results show that fuzzy approaches including Fuzzy ADBEL and ANFIS (Adaptive NeuroFuzzy Inference System) reaches steady state faster than non-fuzzy approaches, ADBEL and MLP (Multilayer Perceptron). Hence, we hope the proposed model can be used in real time chaotic time series prediction.
Year
DOI
Venue
2013
10.1109/FUZZ-IEEE.2013.6622510
2013 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ - IEEE 2013)
Keywords
Field
DocType
BELBIC, BEL, ADBEL, Limbic, Amygdala, Fuzzy emotion, Forecast, Computational model
Neuro-fuzzy,Defuzzification,Computer science,Fuzzy logic,Fuzzy set,Multilayer perceptron,Artificial intelligence,Adaptive neuro fuzzy inference system,Fuzzy control system,Fuzzy associative matrix,Machine learning
Conference
ISSN
Citations 
PageRank 
1098-7584
8
0.45
References 
Authors
7
2
Name
Order
Citations
PageRank
Ehsan Lotfi11177.13
Mohammad R. Akbarzadeh-Totonchi212518.26