A method is proposed for the identification of nonlinear dependences on the
basis of a composition of a fuzzy knowledge base and a neural network. The
structure of a neurofuzzy network that is isomorphic to a system of lingui
stic statements of the form "if-then" is specified, and analytical models f
or training al-e obtained. The efficiency of the proposed method of identif
ication is illustrated by a computer experiment.