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

Created by W.Langdon from gp-bibliography.bib Revision:1.7650

@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