Using of nonlinear regression with fuzzy input data for analysis of seismisity

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.