Joint Application of Group Determination of Parameters and of Training with Noise Addition to Improve the Resilience of the Neural Network Solution of the Inverse Problem in Spectroscopy to Noise in Data.
Igor IsaevSergey BurikovTatiana A. DolenkoKirill LaptinskiyAlexey VervaldSergey DolenkoPublished in: ICANN (1) (2018)
Keyphrases
- missing data
- neural network
- noisy data
- input data
- random noise
- data collection
- data sets
- data points
- database
- measured data
- data analysis
- data processing
- data structure
- data quality
- signal to noise ratio
- training data
- raw data
- data sources
- noise level
- noise reduction
- genetic algorithm
- training examples
- x ray
- small number
- image data
- input variables
- end users
- association rules
- labelled data
- training and testing data
- train a neural network