… This study shows that a combination of fuzzy logic and DMS-PSO can offer more effective
systems of medical diagnosis with improved system accuracy. From the experimental analysis, …

… Moreover, we propose an improved particle swarm optimization (PSO)-based FCM clustering
method called improved natural exponential inertia weight PSO (IEPSO) to enhance the …

… inference system optimized with particle swarm optimization is … , we propose the ANFISPSO
classification model to improve … However, based on the generated fuzzy logic rules, any …

… Fuzzy logic is a basic control system that imitates the … Particle Swarm Optimization is a
Swarm Intelligence based … recognition algorithms liNe face expression recognition, pattern …

… features are difficult to design; deep learning CNN is used in the study. Each CNN has its …
improved fuzzy integral, in which its fuzzy density value is optimized through particle swarm …

… The combination of fuzzy logic, neural network, genetic algorithm, and statistical analysis is
… of the PSO algorithm to train the MFBELC model could enhance the performance of the brain …

… and further improve the recognition rate, we use a modified chaotic binary particle swarm
optimization … Speaker independent emotion recognition based on SVM/HMMS fusion system. In …

… the developed feature was effectively improved in terms of emotion recognition over existing
‘… extend to Two-dimensional (2D) facial expression analysis with 2D WP quadtree structures. …

… the improvement of XGBoost with PSO and fuzzy logic, NGN's … as XGBoost, which is often
used in emotion recognition for its … optimization algorithm such as Particle Swarm Optimization (…

… -based clustering and uncertainty measures of the base new method for Emotion Recognition
from Facial Expression using … a 2D facial image using Type-2 Fuzzy inference system. The …