TY - GEN
T1 - A differential evolution based adaptive neural Type-2 Fuzzy inference system for classification of motor imagery EEG signals
AU - Basu, Debabrota
AU - Bhattacharyya, Saugat
AU - Sardar, Dwaipayan
AU - Konar, Amit
AU - Tibarewala, D. N.
AU - Nagar, Atulya K.
PY - 2014/9/4
Y1 - 2014/9/4
N2 - This paper proposes a new classification algorithm which aims at predicting different states from an incoming non-stationary signal. To overcome the failure of standard classifiers at generalizing the patterns for such signals, we have proposed an Interval Type-2 Fuzzy based Adaptive neural fuzzy Inference System (ANFIS). Through the introduction IT2F system, we have aimed at improving the uncertainty management of the fuzzy inference system. Besides that using DE in forward and backward pass and improving the forward pass function we have improved the parameter update on wide range of nodal functions without any quadratic approximation in forward pass. The proposed algorithm is tested on a standard electroencephalography (EEG) dataset and it is noted that the proposed algorithm performs better than other standard classifiers including the classical ANFIS algorithm.
AB - This paper proposes a new classification algorithm which aims at predicting different states from an incoming non-stationary signal. To overcome the failure of standard classifiers at generalizing the patterns for such signals, we have proposed an Interval Type-2 Fuzzy based Adaptive neural fuzzy Inference System (ANFIS). Through the introduction IT2F system, we have aimed at improving the uncertainty management of the fuzzy inference system. Besides that using DE in forward and backward pass and improving the forward pass function we have improved the parameter update on wide range of nodal functions without any quadratic approximation in forward pass. The proposed algorithm is tested on a standard electroencephalography (EEG) dataset and it is noted that the proposed algorithm performs better than other standard classifiers including the classical ANFIS algorithm.
KW - Adaptive Neural Fuzzy Inference
KW - Brain-computer Interfacing
KW - Differential Evolution
KW - Electroencephalography
KW - Interval Type-2 Fuzzy System
UR - http://www.scopus.com/inward/record.url?scp=84912558016&partnerID=8YFLogxK
U2 - 10.1109/FUZZ-IEEE.2014.6891885
DO - 10.1109/FUZZ-IEEE.2014.6891885
M3 - Conference contribution
AN - SCOPUS:84912558016
T3 - IEEE International Conference on Fuzzy Systems
SP - 1253
EP - 1260
BT - Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE
PB - IEEE
T2 - 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014
Y2 - 6 July 2014 through 11 July 2014
ER -