Efficient data acquisition and training of collisional-radiative model artificial neural network surrogates through adaptive parameter space sampling.
Nathan A GarlandRomit MaulikQi TangXian-Zhu TangPrasanna BalaprakashPublished in: Mach. Learn. Sci. Technol. (2022)
Keyphrases
- parameter space
- data acquisition
- parameter values
- artificial neural networks
- likelihood function
- databases
- real time
- mathematical model
- data processing
- high dimensional
- high speed
- monitoring system
- data mining
- neural network
- database
- search space
- low cost
- training set
- data analysis
- machine learning
- neural network model