Classification Method by Using the Associative Memories in Cellular Neural Networks
This paper deals with a classification problem, such as medical diag-nosis, which classes are defined by categorical forms. Classification should be done by careful and synthetical judgement for a lot of characteristic values taking each individual variations into account. We use the associative memory function of the cellular neural networks to classify by means of remembering one category from among the preregistered categories.
KeywordsLiver Cirrhosis Associative Memory Cellular Neural Network Diagnosis Problem Hopfield Network
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