A case study examining the impact of factor screening for Neural Network metamodels.
Scott L. RosenSamar K. GuharayPublished in: WSC (2013)
Keyphrases
- neural network
- pattern recognition
- back propagation
- artificial neural networks
- case study
- neural network is trained
- metamodel
- bp neural network
- machine learning
- age related macular degeneration
- fuzzy artmap
- high impact
- learning vector quantization
- factor analysis
- training process
- incremental learning
- support vector machine
- knn
- genetic algorithm
- associative memory
- test bed
- training algorithm
- recurrent neural networks
- feed forward neural networks
- neural model
- back propagation neural network
- neural network model
- radial basis function
- auto associative
- hybrid neural network