Design of the models of neural networks and the Takagi-Sugeno fuzzy inference system for prediction of the gross domestic product development
Vladimír Olej · 2005
Abstract:- The paper presents the possibility of the design of frontal neural networks and feed-forward neural networks (without pre-processing of inputs time series) with learning algorithms on the basis genetic and eugenic algorithms and Takagi-Sugeno fuzzy inference system (with pre-processing of inputs time series) in predicting of gross domestic product development by designing a prediction models whose accuracy is superior to the models used in praxis [1,2]. Key-Words:- Gross domestic product, frontal neural networks, feed-forward neural networks, Takagi-Sugeno fuzzy inference systems, genetic and eugenic algorithms, EuSANE algorithm. 1