Artificial Neural Networks to Investigate the Importance and the Sensitivity to Various Parameters Used for the Prediction of Chromosomal Abnormalities.
Andreas C. NeocleousKypros H. NikolaidesArgyro SyngelakiKleanthis C. NeokleousGianna LoizouCostas NeocleousChristos N. SchizasPublished in: AIAI (2) (2012)
Keyphrases
- artificial neural networks
- sensitivity analysis
- prediction accuracy
- input variables
- neural network
- levenberg marquardt
- using artificial neural networks
- feed forward artificial neural networks
- parameter optimization
- parameter estimation
- maximum likelihood
- ann models
- parameter settings
- multi layer perceptron
- evolutionary artificial neural networks
- genome wide
- medical images
- linear regression model
- high sensitivity
- wheel slip
- root mean square error
- predictive model
- parameter values
- prediction model
- feed forward
- input data
- genetic algorithm