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Feature Saliency In Artificial Neural Networks With Application To Modeling Workload, Kelly A. Greene
Feature Saliency In Artificial Neural Networks With Application To Modeling Workload, Kelly A. Greene
Theses and Dissertations
This dissertation research extends the current knowledge of feature saliency in artificial neural networks (ANN). Feature saliency measures allow for the user to rank order the features based upon the saliency, or relative importance, of the features. Selecting a parsimonious set of salient input features is crucial to the success of any ANN model. In this research, several methodologies were developed using the Signal to Noise Ratio (SNR) Feature Screening Method and its associated SNR Saliency Measure for selecting a parsimonious set of salient features to classify pilot workload in addition to air traffic controller workload. Candidate features were derived …