Ziyad S. Modeling network and neuro-network structures by facilities of fuzzy Petri nets

A new decision is presented in the thesis of problem of modeling of network and neuro-network structures, containing elements of fuzzy logic, by facilities of fuzzy Petri nets. Following main results are received. Variant is synthesized of versions of fuzzy Petri nets suitable for modeling of network and neuro-network structures, containing elements of fuzzy information processing. Principles are designed of software realization of synthesized version of fuzzy Petri nets. Piloting is organized of programme product, realizing fuzzy Petri nets. Methods are designed of modeling of elements of fuzzy and neuro-fuzzy network structures by facilities of synthesized version of fuzzy Petri nets. The Principles of modeling are demonstrated using examples of Mamdani-Zadeh fuzzy regulator, models of neurons of McCul-loch-Pitts, Fukushima and sigma-pi, and elements of Kohonen network. The Developped methods and algorithms are applicable at modeling network and neuro-network structures in industry, on transport andin communication. For realization of models is not required specialized computing facilities