| Assessing the Rental Value of
Residential Properties: An Abductive Learning Networks Approach Author: Kee S. Kim and Walt A. Nelson
Start Page: 63
End Page: 78
Volume: 12
Issue Number: 1
Year: 1996
Publication: Journal of Real Estate Research
Abstract: This paper attempts to
estimate rental value of residential properties using Abductive Learning Networks (ALN),
and artificial intelligence technique. The results indicate that the ALN model provides an
accurate estimation of rents with only seven input variables, while other multivariate
statistical techniques do not. The ALN model automatically selects the best network
structure, node types and coefficients, and therefore it simplifies the maintenance of the
model. Once the final model is synthesized, the ALN model becomes very compact, rapidly
executable and cost-effective.
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