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Optimization Of Receptive Fields For Mlp Networks With Ensemble Encoding, Deena Osama Hassan Jun 2003

Optimization Of Receptive Fields For Mlp Networks With Ensemble Encoding, Deena Osama Hassan

Archived Theses and Dissertations

Ensemble encoding is a biologically-motivated, distributed data representation scheme for MLP networks. Multiple overlapping receptive fields are used to enhance locality of representation. The number, form, and placement of receptive fields have a great impact on performance. This thesis presents four heuristics, two based on descriptive statistics, and two based on clustering, for optimizing receptive field configuration, and compares their performance on four benchmark data sets. The two statistical approaches are based on the mean and median properties of the data set. The two clustering methods are the c-means and fuzzy c-means clustering. The four data sets used are well-known …