Synthesis and learning of fuzzy neural networks for solving forecasting problems
Serhii Okrenets, Andrey A. Fefelov, Volodymyr I. Lytvynenko, Volodymyr Osypenko, Maksym Korobchynskyi, Mariia A. Voronenko · 2017
Two variations of the network are described i.e. Larsen model and Tsukamoto model. In each case an artificial immune network is proposed as a means of building fuzzy network structure and performing parameters inference.