Use of the adaptive neuro-fuzzy system on the example of adjusting the parameters of a neural network in an actuator
V D Munister, Alexander L. Zolkin, Viktor V. Nagaytsev, Sergey G. Rudnev, A N Losev
Abstract
The role and significance of adaptive neuro-fuzzy systems as well as the theory of fuzzy sets are considered in the article. The method for determination of the truth of the rules is interrogated, the iterative feature of the algorithm under study is put on focus. The practical implementation of calculation of the fuzzification layer function and the functional significance of the mathematical apparatus of the network are presented. The importance of the used perception in creation of a fuzzy inference apparatus in digital and analogue actuators is put on focus. A model for the practical use of the algorithm during simulation of the operation of a device in an unmanned vehicle is provided.