Zobrazeno 1 - 1
of 1
pro vyhledávání: '"Chiamaka U. Ude"'
Autor:
Oladayo Adeyi, Agbede O. Omotoso, Kenechi Nwosu-Obieogu, B. I. Okolo, E. O. Oke, Chiamaka U. Ude
Publikováno v:
Multiscale and Multidisciplinary Modeling, Experiments and Design. 4:131-144
Convectional algorithms such as least-square and gradient descent for adaptive neuro-fuzzy inference system (ANFIS) prediction of engineering process system is deficient by local optimum trapping problem. Therefore, this study is aimed at developing