Determining the composition of bronze alloys by means of high-dimensional feature selection and Artificial Neural Networks.
Eleonora D'AndreaBeatrice LazzeriniVincenzo PalleschiStefano PagnottaPublished in: I2MTC (2015)
Keyphrases
- artificial neural networks
- high dimensional
- feature selection
- high dimensionality
- dimensionality reduction
- feature space
- small sample
- computational intelligence
- microarray data
- gene expression data
- neural network
- low dimensional
- data points
- machine learning
- sparse data
- using artificial neural networks
- text categorization
- dimension reduction
- multi dimensional
- variable selection
- high dimensional data
- feature extraction
- multi class
- high dimension
- feature selection algorithms
- input space
- soft computing
- back propagation
- feature set
- similarity measure
- multilayer perceptron
- linear discriminant analysis
- support vector
- training set
- nearest neighbor
- data sets
- parameter optimization
- support vector machine
- method for feature selection