Dale E. Courte

Learn More
The average classification accuracy of an odor classification system is improved using a genetic algorithm to determine optimal parameters for feature extraction. Gaussian windowing functions, called "kernels" are evolved to extract information from the transient response of an array of gas sensors, resulting in a reduced set of extracted features for a(More)
Pattern recognition is a resource intensive task which includes feature extraction, feature selection and classification. Optimizing any of these steps can significantly improve performance. Evolutionary computation methods are utilized to address optimization problems that explore a huge, nonlinear and multidimensional search space. In this paper a new(More)
  • 1