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Artificial neural network optimisation in automated property valuation models with Encog 2

Vo, Nguyen, Shi, Hao and Szajman, Jakub (2011) Artificial neural network optimisation in automated property valuation models with Encog 2. In: 2011 World Congress on Engineering and Technology: proceedings. Jin, Victor, ed. IEEE Press, Beijing, China, pp. 98-103.

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Abstract

The proposed ANN optimisation procedure aims to resolve some of the issues in using ANNs especially in the case of automated property valuation modelling (AVM). ANNs and their applications are first reviewed, followed by the discussion of the ANN design methodology and ANN optimisation development. Paper presented at the 2011 World Congress on Engineering and Technology (CET 2011), held Oct.28-Nov.2, 2011, Shanghai, China

Item Type: Book Section
ISBN: 9781612843629 (print), 9781612843650 (PDFs), 9781612843636 (CD-ROM)
Additional Information:

Paper 23770, listed on p.19 of programme.

Uncontrolled Keywords: ResPubID22801, ANN, optimisation, optimization, Java, neurons, AVM, pruning, error threshold, Encog 2, networks
Subjects: Faculty/School/Research Centre/Department > School of Engineering and Science
FOR Classification > 0801 Artificial Intelligence and Image Processing
SEO Classification > 8902 Computer Software and Services
Related URLs:
Depositing User: VUIR
Date Deposited: 10 Jan 2013 02:18
Last Modified: 10 Jan 2013 02:18
URI: http://vuir.vu.edu.au/id/eprint/9816
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