Particle Swarm Optimization (PSO) with fuzzy c means (PSO-FCM)-based segmentation and machine learning classifier for leaf diseases prediction.
S. K. Pravin KumarSumithra Manimegalai GovindanN. SaranyaPublished in: Concurr. Comput. Pract. Exp. (2021)
Keyphrases
- particle swarm optimization pso
- fcm clustering
- pso algorithm
- fuzzy c means
- machine learning
- particle swarm optimization
- fcm algorithm
- image segmentation
- swarm intelligence
- particle swarm optimization algorithm
- optimization algorithm
- genetic algorithm ga
- differential evolution
- feature selection
- hybrid algorithm
- inertia weight
- fuzzy clustering
- convergence speed
- simulated annealing
- particle swarm
- fuzzy clustering algorithm
- genetic algorithm
- particle swarm optimisation
- ant colony optimization
- global optimization
- quantum behaved particle swarm optimization
- fuzzy c means algorithm
- clustering method
- hybrid pso
- fuzzy c means clustering algorithm
- binary pso
- artificial intelligence
- hybrid particle swarm optimization
- mercer kernel
- hard c means
- support vector machine
- k means
- clustering algorithm
- premature convergence
- supervised learning
- swarm optimization
- segmentation algorithm
- pattern recognition
- computer vision
- multi objective
- membership functions
- feature space
- data mining
- genetic programming
- computational intelligence
- fuzzy classifier
- cluster centers
- evolutionary algorithm
- search algorithm
- image processing