Pattern Recognition with Networks of Memory Elements
This chapter deals with a development of ideas stemming from the early work of Bledsoe and Browning (1959) in which a binary pattern field was broken up into several randomly selected sets of n binary points called n-tuples. The scheme is adaptive and requires a set of patterns with which the system can be trained: the training set.
KeywordsInput Pattern Memory Element Learning Automaton Linear Separator Decision Feedback
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