Development of an improved method for finding a solution for neuro-fuzzy expert systems

Autor: Salnikova, Olha, Cherviakova, Olga, Sova, Oleg, Zhyvotovskyi, Ruslan, Petruk, Serhii, Hurskyi, Taras, Shyshatskyi, Andrii, Nos, Andrey, Neroznak, Yevhenii, Proshchyn, Ihor

Publikováno v: Східно-Європейський журнал передових технологій; Том 5, № 4 (107) (2020): Математика та кібернетика-прикладні аспекти; 35-44
Восточно-Европейский журнал передовых технологий; Том 5, № 4 (107) (2020): Математика и кибернетика-прикладные аспекты; 35-44
Eastern-European Journal of Enterprise Technologies; Том 5, № 4 (107) (2020): Mathematics and Cybernetics-applied aspects; 35-44

Nowadays, artificial intelligence has entered into all spheres of human activity. However, there are some problems in the analysis of objects, for example, there is a priori uncertainty about the state of objects and the analysis takes place in a dif

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=scientific_p::5d3094e1dd18699dccededd246b1ca87
http://journals.uran.ua/eejet/article/view/211399