Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing.
Alexander WiknerJoseph HarveyMichelle GirvanBrian R. HuntAndrew PomeranceThomas M. Antonsen Jr.Edward OttPublished in: Neural Networks (2024)
Keyphrases
- machine learning
- reservoir computing
- recurrent neural networks
- prediction accuracy
- pattern recognition
- noise level
- random noise
- prediction model
- learning algorithm
- machine learning algorithms
- noise model
- text mining
- decision trees
- image noise
- additive noise
- noise removal
- prediction algorithm
- prediction error
- signal to noise ratio
- machine learning methods
- active learning
- information extraction
- natural language processing
- missing data
- computer science
- data analysis
- support vector machine
- fuzzy logic
- inductive learning
- dynamic model
- computational intelligence
- artificial intelligence
- noisy data
- impulse noise removal
- predictive modeling
- general loss functions
- neural network
- regularization term
- learning problems
- dynamical systems
- regression model
- text classification
- computer vision