Breast lesion identification and categorization using mammography screening based on combined convolutional recursive neural network framework with parameters optimized using multi-objective seagull optimization algorithm.
N. K. SakthivelS. SubasreePachhaiammal Alias Priya MAmit Kumar TyagiPublished in: Concurr. Comput. Pract. Exp. (2022)
Keyphrases
- optimization algorithm
- multi objective
- neural network
- evolutionary algorithm
- multi objective optimization
- particle swarm optimization pso
- optimization method
- genetic algorithm
- control parameters
- breast cancer detection
- differential evolution
- evolutionary multi objective
- multiobjective optimization
- pareto optimal
- bp neural network
- multiple objectives
- optimization strategy
- artificial bee colony
- particle swarm optimisation
- artificial neural networks
- nsga ii
- objective function
- global optima
- particle swarm
- particle swarm optimization
- network architecture
- neural network model
- fuzzy logic
- digital mammograms
- logistic regression