Forecasting house rental levels: Analytical rent model versus neural network

Heng Li, Vera Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)


This paper addresses the need of a house rental model in Townsville, Australia. It then describes two models developed for predicting house rental levels. The first model is analytically built upon a priori selected variables and parameters of rental levels. The second model uses an artificial neural network (ANN) as the basis for rent prediction. Issues in model development and evaluation are discussed. A comparison of the two models indicates that the analytical model performs better than the neural network model.
Original languageEnglish
Pages (from-to)118-127
Number of pages10
JournalJournal of Urban Planning and Development
Issue number4
Publication statusPublished - 1 Jan 1996
Externally publishedYes

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Development
  • Urban Studies


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