Training and pattern recognition in layered automata Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/5h73pz52b

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  • The project herein described, presents the results of an investigation in the relatively new and expanding field of computer stimulated learning machines for use in pattern recognition. A learning machine, one that benefits from its past experience was devised in computer program form. It may be described as a Piecewise-Linear, layer, learning machine, Efforts were made to ascertain the major parameters, properties, requirements and so on, that determine its behavior. Once a feeling for the idiosyncracies of the machine had been developed, a second. goal was to devise an effective training procedure and obtain an estimate as to the accuracy that may be obtained in pattern classification and extrapolation problems. We denote "training" as that phase during which one attempts to develop the machine's ability to differentiate between various examples of pattern categories by some means of an interactive error correction procedure; and the "decision" or "extrapolation" phase as that during which unknown, uncategorized patterns are presented to the machine for judgement.
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