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Description
  • A relatively new method for data analysis called the adaptive neuro-fuzzy inference system (ANFIS) is illustrated with an example from travel behavior modeling. The options offered by this data analysis technique are illustrated by using data from Australia. In addition, an experiment was performed to identify the optimal split of data into an estimation sample and a validation sample. Comparisons of ANFIS and the more traditional regression methods such as ordinary least-squares linear regression and negative binomial regression were performed by using the mean square error and correlation coefficients. ANFIS is shown to be a useful tool, and its further use in travel behavior research and applications in transportation planning is recommended. However, many additional issues require further scrutiny and experimentation, which are discussed.
  • A relatively new method for data analysis called the adaptive neuro-fuzzy inference system (ANFIS) is illustrated with an example from travel behavior modeling. The options offered by this data analysis technique are illustrated by using data from Australia. In addition, an experiment was performed to identify the optimal split of data into an estimation sample and a validation sample. Comparisons of ANFIS and the more traditional regression methods such as ordinary least-squares linear regression and negative binomial regression were performed by using the mean square error and correlation coefficients. ANFIS is shown to be a useful tool, and its further use in travel behavior research and applications in transportation planning is recommended. However, many additional issues require further scrutiny and experimentation, which are discussed. (en)
Title
  • Application of adaptive neuro-fuzzy inference system to analysis of travel behavior
  • Application of adaptive neuro-fuzzy inference system to analysis of travel behavior (en)
skos:prefLabel
  • Application of adaptive neuro-fuzzy inference system to analysis of travel behavior
  • Application of adaptive neuro-fuzzy inference system to analysis of travel behavior (en)
skos:notation
  • RIV/68407700:21260/03:00153835!RIV14-MSM-21260___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...iv/cisloPeriodika
  • 1854
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 598825
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21260/03:00153835
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Travel behavior; fuzzy; ANFIS (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [2621D6FE4B0E]
http://linked.open...i/riv/nazevZdroje
  • TRAVELER BEHAVIOR AND VALUES 2003 - PLANNING AND ADMINISTRATION
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2003
http://linked.open...iv/tvurceVysledku
  • Přibyl, Ondřej
  • Goulias, K. G.
http://linked.open...ain/vavai/riv/wos
  • 000189432900020
issn
  • 0361-1981
number of pages
http://localhost/t...ganizacniJednotka
  • 21260
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