A Comparison of Feature Extraction and Selection Techniques

@inproceedings{Addison2003ACO,
  title={A Comparison of Feature Extraction and Selection Techniques},
  author={Jonathan Francis Dale Addison and Stefan Wermter and Garen Zohrab Arevian},
  year={2003}
}
We have applied several dimensionality reduction techniques to data modelling using neural network architectures for classification using a number of data sets. The reduction methods considered include both linear and non linear forms of principal components analysis, genetic algorithms and sensitivity analysis. The results of each were used as inputs to several types of neural network architecture, specifically the performance of Multi-layer perceptrons, (MLPs), Radial basis function networks… CONTINUE READING
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