Noise Prediction Based on Machine Learning in Quantum Secured SWDM B5G Fronthaul Networks.
ChengLong WangYongmei SunWeiwen KongYaoxian GaoPublished in: ICCT (2022)
Keyphrases
- machine learning
- prediction accuracy
- neural network ensemble
- prediction error
- noisy data
- active learning
- prediction model
- pattern recognition
- machine learning methods
- machine learning algorithms
- heterogeneous networks
- prediction algorithm
- learning problems
- missing data
- knowledge acquisition
- quantum computation
- supervised learning
- network design
- explanation based learning
- artificial intelligence
- computer vision
- network analysis
- noise level
- neural network
- inductive logic programming
- decision trees
- natural language
- random noise
- learning systems
- probability ranking principle
- noisy environments
- polynomial neural networks
- noise model
- median filter
- learning tasks
- information extraction
- support vector machine
- knowledge discovery
- feature selection