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:1.4202

  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=",
  URL =          "http://halshs.archives-ouvertes.fr/docs/00/85/94/57/PDF/Hal-fazli-lebraty.pdf",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:",
  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
  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

                 also known as

Genetic Programming entries for Mojtaba Sedigh Fazli Jean-Fabrice Lebraty