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This paper describes two design algorithms of membership functions for a fuzzy neuron using example-based learning with optimization of allocation of cross-detecting lines. One algorithm is called the elimination method which eliminates the inefficient cross-detecting lines and the other is called the selection method which picks up the efficient cross-detecting lines. The features of these algorithms...
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