A Solution for Forecasting PET Chips Prices for both Short-Term and Long-Term Price Forecasting, Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Fazli:2013:worldcomp,

• author = "Mojtaba Sedigh Fazli and Jean-Fabrice Lebraty",
• title = "A Solution for Forecasting {PET} Chips Prices for both Short-Term and Long-Term Price Forecasting, Using Genetic Programming",
• year = "2013",
• booktitle = "Proceedings of the 2013 International Conference on Artificial Intelligence",
• address = "Las Vegas, Nevada, United States",
• month = "22-25 " # jul,
• keywords = "genetic algorithms, genetic programming, humanities and social sciences/business administration, efficient market hypothesis, financial forecasting, chemicals, artificial intelligence, decision support system, hybrid neuro fuzzy model",
• bibsource = "OAI-PMH server at hal.archives-ouvertes.fr",
• oai = "oai:hal-univ-lyon3.archives-ouvertes.fr:hal-00859457",
• language = "ENG",
• URL = "http://hal-univ-lyon3.archives-ouvertes.fr/hal-00859457",
• URL = "http://hal-univ-lyon3.archives-ouvertes.fr/docs/00/85/94/57/PDF/Hal-fazli-lebraty.pdf",
• URL = "http://hal-univ-lyon3.archives-ouvertes.fr/docs/00/85/94/57/PDF/Hal-fazli-lebraty.pdf",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.394.7024",
• URL = "http://halshs.archives-ouvertes.fr/docs/00/85/94/57/PDF/Hal-fazli-lebraty.pdf",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.394.7024",
• size = "7 pages",
• abstract = "Nowadays, forecasting what will happen in economic environments plays a crucial role. We showed that in PET market how a neuro-fuzzy hybrid model can assist the managers in decision-making. In this research, the target is to forecast the same item through another intelligent tool which obeys the evolutionary processing mechanisms. Again, the item for prediction here is PET (Poly Ethylene Terephthalate) which is the raw material for textile industries and it is highly sensitive against oil price fluctuations and also some other factors such as the demand and supply ratio. The main idea is coming through AHIS model which was presented by Mojtaba Sedigh Fazli and J.F. Lebraty in 2013. In this communication, the hybrid module is substituted with genetic programming. Finally, the simulation has been conducted and compared to three different answers which were presented before the results show that Genetic programming results (acting like hybrid model) which support both Fuzzy Systems and Neural Networks, satisfy the research question considerably.",
• notes = "http://www.world-academy-of-science.org/worldcomp13/ws/conferences/icai13/publication

  worldcomp 2013

  The 2013 International Conference on Artificial Intelligence (ICAI'13) and The 2013 International Conference on Genetic and Evolutionary Methods (GEM'13)

  also known as \cite{oai:hal-univ-lyon3.archives-ouvertes.fr:hal-00859457}",

}

Genetic Programming entries for Mojtaba Sedigh Fazli Jean-Fabrice Lebraty

Citations