Optimisation to ANN inputs in automated property valuation model with encog 3 and wingamma

Full text for this resource is not available from the Research Repository.

Vo, Nguyen, Shi, Hao and Szajman, Jakub (2014) Optimisation to ANN inputs in automated property valuation model with encog 3 and wingamma. Applied Mechanics and Materials, 462-463. 1081 - 1086. ISSN 1660-9336

Dimensions Badge

Altmetric Badge

Additional Information

Lyn 15/10/15

Item type Article
URI https://vuir.vu.edu.au/id/eprint/29637
DOI 10.4028/www.scientific.net/AMM.462-463.1081
Official URL http://www.scientific.net/AMM.462-463.1081
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > Division/Research > College of Science and Engineering
Keywords AVM; Encog 3 and winGamma; Error threshold; Java; Optimisation; Artificial Neural Network
Citations in Scopus 2 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login