Pipeline damage identification in nuclear industry using a particle swarm optimization-enhanced machine learning approach.
Qi JiangWenzhong QuLi XiaoPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- particle swarm optimization
- machine learning
- pso algorithm
- particle swarm optimization algorithm
- global optimization
- particle swarm optimization pso
- case study
- knowledge acquisition
- pattern recognition
- supervised machine learning
- inductive learning
- active learning
- multi objective
- inductive logic programming
- explanation based learning
- computational intelligence
- computational biology
- machine learning methods
- statistical methods
- text mining
- text classification
- convergence speed
- machine learning algorithms
- learning systems
- computer vision
- data sets
- real world
- neural network
- automatic identification
- inertia weight
- artificial neural networks
- feature selection
- knowledge base
- learning problems
- united states
- model selection
- decision trees
- reinforcement learning
- natural language processing
- information extraction
- knowledge discovery
- computer science