2026-04-13T02:55:22Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/1654002025-07-17T02:46:00Zcom_2072_1033col_2072_452950

00925njm 22002777a 4500 dc Acosta, Jesus author Nebot Castells, M. Àngela author Fuertes Armengol, José Mª author 2006 In this work an evolutionary fuzzy system (EFS) is presented and applied to an environmental problem, i.e. modeling ozone concentrations. The hybrid system is composed by a FIR methodology and a genetic algorithm (GA) that take charge of determining, in an automatic way, the fuzzification parameters in that fuzzy system. The obtained results are compared with some of the most popular and classical modeling methods, neural networks and other FIR models. Peer Reviewed Postprint (published version) Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica Evolutionary computation Genetic algorithms Air -- Pollution -- Mathematical models Ozone forecast Environmental modeling Evolutionary algorithms Fuzzy inductive reasoning Genetic fuzzy systems Computació evolutiva Algorismes genètics Aire -- Contaminació -- Models matemàtics Hybrid evolutionary data analysis technique for environmental modeling