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

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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
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