| This course will deal at length with artificial intelligence techniques as applied to pattern recognition; topics discussed will include receptors, preprocessors, categorizes, discriminate functions, and threshold logic units, statistical decision theory, heuristic procedures, prototype determination and cluster analysis, learning with and without a teacher, removal of translation, dilation and rotational effects. Prerequisite: Students should have numerical methods, some stats and prob., and substantial programming experience. |
