Learnability and robustness of shallow neural networks learned by a performance-driven BP and a variant of PSO for edge decision-making.
Hongmei HeMengyuan ChenGang XuZhilong ZhuZhenhuan ZhuPublished in: Neural Comput. Appl. (2021)
Keyphrases
- neural network
- back propagation
- decision making
- bp algorithm
- bp neural network
- fuzzy logic
- particle swarm optimization pso
- pso algorithm
- particle swarm optimization
- particle swarm optimization algorithm
- artificial neural networks
- edge detection
- genetic algorithm
- learning algorithm
- training algorithm
- multilayer perceptron
- decision makers
- edge information
- particle swarm optimizer
- decision support system
- pattern recognition
- particle swarm optimisation
- natural language processing
- optimization algorithm
- decision process
- information extraction
- particle swarm
- activation function
- uniform convergence
- boolean functions
- training data
- neural network model
- swarm intelligence
- differential evolution
- genetic algorithm ga
- decision support
- question answering
- multi layer perceptron
- data mining
- dnf formulas
- supply chain
- pattern languages
- fitness function
- recurrent neural networks
- learning rate
- edge detector
- hybrid algorithm