Sensitivity analysis and optimisation to input variables using winGamma and ANN: A case study in automated residential property valuation

[img]
Preview
04 2015-2-12-pp.19-24.pdf - Published Version (309kB) | Preview

Shi, Hao, Vo, N and Szajman, Jakub (2015) Sensitivity analysis and optimisation to input variables using winGamma and ANN: A case study in automated residential property valuation. International Journal of Advanced and Applied Sciences, 2 (12 (Part 2)). 19 - 24. ISSN 2313-626X

Item type Article
URI https://vuir.vu.edu.au/id/eprint/31959
Official URL http://www.science-gate.com/IJAAS/Articles/2015-2-...
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Historical > FOR Classification > 0803 Computer Software
Current > Division/Research > College of Science and Engineering
Keywords Automated Valuation Model; Artificial Neural Network; residential property price; house prices forecast; Brimbank, Victoria
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login