Abstract

A variant of modified training functional that allows considering fuzzy input data is suggested. A limiting case when a part of input data is completely undefined, and, therefore, a problem of reconstruction of hidden parameters should be solved, is also considered. Some numerical experiments are presented. The suggested approach yields satisfactory results, which has been already used in a number of applications.

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Issue
Pages
69-75