Networks of Memory Elements: A Processor for Industrial Automation
The classification of non-deterministic data, with par-ticular reference to visual information, is examined. The problem is established by reference to pattern recognition of alphanumeric characters. Networks of memory elements are presented as adaptive learning processors, and their application to the recognition of images subject to varying degrees of constraint is discussed. Pattern detection in a data base, where the relationship between the data and their classification is unspecified, is demonstrated with reference to medical pattern recognition. The implications of pattern detection in general process control are considered.
KeywordsArtificial Vision Pattern Detection Memory Element Adaptive Logic Alphanumeric Character
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