Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/74592
Title: Housing price prediction using neural network
Authors: Sng, Pei Wen
Keywords: DRNTU::Engineering
Issue Date: 2018
Abstract: This research applies the artificial neural network (ANN) models to predict the resale flat prices in Singapore. The study consists of three major sections. In Section 1, factors affecting resale flat prices and data collection process is shown; in Section 2, ANN with LM algorithm is used to predict the resale price based on the housing characteristics; in Section 3, ANN with RVFL is used to predict the resale price based on the housing characteristics. Data from 2016 onwards are used for training, testing and validation. The results show that the ANN with LM algorithm can produce a good prediction, with regression values higher than 0.9 in all the cases tested for this research.
URI: http://hdl.handle.net/10356/74592
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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