An improved computationally efficient identification method for errors-in-variables models based on v-gap optimisation.
Li-Hui GengPublished in: Int. J. Control (2019)
Keyphrases
- computationally efficient
- cost function
- prior knowledge
- clustering method
- classification accuracy
- probabilistic model
- error analysis
- machine learning methods
- experimental evaluation
- modeling method
- monte carlo simulation
- prediction error
- high precision
- computational cost
- significant improvement
- graphical models
- artificial neural networks
- synthetic data
- statistical model
- preprocessing
- similarity measure
- linear regression
- prediction model
- image segmentation
- genetic algorithm
- neural network
- data sets