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An Efficient Adaptive Network-Based Fuzzy Inference System with Mosquito Host-Seeking For Facial Expression Recognition

M. Carmel Sobia1, A. Abudhahir2

1 Asst.Prof. (S.G), EIE, National Engineering College, Kovilpatti, Tamilnadu, India.
2 Prof. EEE, Vel Tech MultitechDr.RangarajanDr.Sakunthala Engineering College, Chennai.

* Corresponding Author: M. Carmel Sobia, email

Intelligent Automation & Soft Computing 2018, 24(4), 869-881. https://doi.org/10.31209/2018.100000014

Abstract

In this paper, an efficient facial expression recognition system using ANFIS-MHS (Adaptive Network-based Fuzzy Inference System with Mosquito Host-Seeking) has been proposed. The features were extracted using MLDA (Modified Linear Discriminant Analysis) and then the optimized parameters are computed by using mGSO (modified Glow-worm Swarm Optimization).The proposed system recognizes the facial expressions using ANFIS-MHS. The experimental results demonstrate that the proposed technique is performed better than existing classification schemes like HAKELM (Hybridization of Adaptive Kernel based Extreme Learning Machine), Support Vector Machine (SVM) and Principal Component Analysis (PCA). The proposed approach is implemented in MATLAB.

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APA Style
Sobia, M.C., Abudhahir, A. (2018). An efficient adaptive network-based fuzzy inference system with mosquito host-seeking for facial expression recognition. Intelligent Automation & Soft Computing, 24(4), 869-881. https://doi.org/10.31209/2018.100000014
Vancouver Style
Sobia MC, Abudhahir A. An efficient adaptive network-based fuzzy inference system with mosquito host-seeking for facial expression recognition. Intell Automat Soft Comput . 2018;24(4):869-881 https://doi.org/10.31209/2018.100000014
IEEE Style
M.C. Sobia and A. Abudhahir, "An Efficient Adaptive Network-Based Fuzzy Inference System with Mosquito Host-Seeking For Facial Expression Recognition," Intell. Automat. Soft Comput. , vol. 24, no. 4, pp. 869-881. 2018. https://doi.org/10.31209/2018.100000014



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