An approach to forecasting and filtering noise in dynamic systems using LSTM architectures.
Juan Pedro LlerenaJesús García HerreroJosé Manuel Molina LópezPublished in: Neurocomputing (2022)
Keyphrases
- dynamic systems
- complex systems
- qualitative reasoning
- dynamical systems
- discrete event
- consistency based diagnosis
- filtering method
- median filter
- salt pepper
- state variables
- short term
- filtering process
- noise detection
- recurrent neural networks
- ordinary differential equations
- signal to noise ratio
- noise reduction
- filtering algorithm
- noisy data
- qualitative models
- model based diagnosis
- noise level
- state estimation
- noise free
- linear time invariant
- long term
- high pass
- differential equations
- multi agent
- learning algorithm