Digital Realisation of Self-Organizing Maps
نویسندگان
چکیده
Kevin J. Moon A digital realisation of two-dimensional self-organising feature maps is presented. The method is based on subspace classification using an n-tuple technique. Weight vector approximation and orthogonal projections to produce a winnertakes-all network are also discussed. Over one million effective binary weights can be applied in 25ms using a conventional microcomputer. Details of a number of image recognition tasks, including character recognition and object centring, are described.
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تاریخ انتشار 1988