Representation and Data Preparation Issues in Ecological Time-Series Modeling using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@MastersThesis{Hoang:mastersthesis,
  author =       "Tuan-Hao Hoang",
  title =        "Representation and Data Preparation Issues in
                 Ecological Time-Series Modeling using Genetic
                 Programming",
  school =       "School of Computer Science University College,
                 University of New South Wales, Australian Defence Force
                 Academy",
  year =         "2004",
  type =         "Master S.c of Information Technology",
  month =        nov,
  note =         "Under the co-supervision of Daryl Essam and R.I. McKay
                 (2004). School of IT and EE, University of New South
                 Wales, ADFA, Canberra, Australia",
  keywords =     "genetic algorithms, genetic programming, TAG3P",
  URL =          "http://seal.tst.adfa.edu.au/~z3106820/publications/masthesis.pdf",
  size =         "42 pages",
  abstract =     "Many important ecological datasets are collected
                 irregularly over time. In view of the fact that many
                 time series modelling techniques require regularly
                 spaced intervals, one common approach is to interpolate
                 the data, and then build a model from the interpolated
                 data. However, this may cause negative effects on the
                 performance of models built on the interpolated data.
                 This thesis has two aims, the first is to investigate
                 the extent of those effect, by comparing models built
                 on the original sample data (the irregular dataset of
                 the phytoplankton in Lake Kasumigaura), and on
                 interpolated data, whilst the second is to examine the
                 effect of representation on modelling systems, in
                 particular the differences between context-free and
                 tree-adjoining grammar models.",
}

Genetic Programming entries for Tuan-Hao Hoang

Citations