10. A method of pattern learning, comprising the steps of: (a) entering a pattern having a feature to be learned on a primary retina of a pattern recognition apparatus comprising a plurality of basic recognizers, each basic recognizer including a plurality of recognition elements; (b) for each recognition element of each basic recognizer of said pattern recognition apparatus, calculating an average number of patterns having a feature to be learned that can be seen by a recognition element; (c) for each basic recognizer of said pattern recognition apparatus, setting a learning cycle count equal to the lessor of said learning cycle count plus one or a learning constant equal to the largest number that the recognition elements of said basic recognizer can represent; (d) for each basic recognizer of said pattern recognition apparatus, calculating an estimate of the average number of recognition elements that have seen a pattern having the feature to be learned.
10. A method of pattern learning, comprising the steps of: (a) entering a pattern having a feature to be learned on a primary retina of a pattern recognition apparatus comprising a plurality of basic recognizers, each basic recognizer including a plurality of recognition elements; (b) for each recognition element of each basic recognizer of said pattern recognition apparatus, calculating an average number of patterns having a feature to be learned that can be seen by a recognition element; (c) for each basic recognizer of said pattern recognition apparatus, setting a learning cycle count equal to the lessor of said learning cycle count plus one or a learning constant equal to the largest number that the recognition elements of said basic recognizer can represent; (d) for each basic recognizer of said pattern recognition apparatus, calculating an estimate of the average number of recognition elements that have seen a pattern having the feature to be learned. 12. A method of pattern learning according to claim 10, wherein said estimate of the average number of recognition elements that have seen a pattern having the feature to be learned is calculated by the formula ##EQU13## where s is an estimate of the average number of recognition elements that see a pattern having the feature to be learned, x is a count of the total number of recognition elements in the basic recognizer, W.sub.i is a count of the total number of patterns having the feature to be learned that can be seen by the recognition element, and .vertline.F.vertline. is a count of the total number of patterns having the feature to be learned.