TY - EJOU AU - Sobia, M. Carmel AU - Abudhahir, A. TI - An Efficient Adaptive Network-Based Fuzzy Inference System with Mosquito Host-Seeking For Facial Expression Recognition T2 - Intelligent Automation \& Soft Computing PY - 2018 VL - 24 IS - 4 SN - 2326-005X AB - 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. KW - Face recognition KW - Gaussian filter KW - Active contour KW - linear discriminant analysis KW - GSO KW - ANFIS KW - Mosquito host-seeking DO - 10.31209/2018.100000014