FORECASTING THE EMU INFLATION RATE: LINEAR ECONOMETRIC VS. NON-LINEAR COMPUTATIONAL MODELS USING GENETIC NEURAL FUZZY SYSTEMS

DOI10.1016/S0731-9053(04)19006-3zbMath1118.91348OpenAlexW2490731208MaRDI QIDQ5756943

Eric Ringhut, Timo Mitze, Stefan Kooths

Publication date: 5 September 2007

Published in: Applications of Artificial Intelligence in Finance and Economics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0731-9053(04)19006-3

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Statistical methods; economic indices and measures (91B82)

This page was built for publication: FORECASTING THE EMU INFLATION RATE: LINEAR ECONOMETRIC VS. NON-LINEAR COMPUTATIONAL MODELS USING GENETIC NEURAL FUZZY SYSTEMS