Networks of higher order have enhanced capabilities to distinguish between different two-dimensional patterns and to recognize those patterns. Also enhanced capabilities to "learn" patterns to be recognized: "trained" with far fewer examples and, therefore, in less time than necessary to train comparable first-order neural networks.
Higher-Order Neural Networks Recognize Patterns
NASA Tech Briefs ; 20 , 2
1996-02-01
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