Application of a neuro-fuzzy model to evaluate the thermal performance of typical Australian residential masonry buildings | NOVA. The University of Newcastle's Digital Repository

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/44998

Title: Application of a neuro-fuzzy model to evaluate the thermal performance of typical Australian residential masonry buildings
Author/Creator: Alashaary, Haitham; Moghtaderi, Behdad; De Dona, Jose; Page, Adrian
Institution: The University of Newcastle. Faculty of Engineering & Built Environment, School of Engineering
Description: This paper describes the utilisation of a predictive model for studying the thermal performance of masonry housing based on a neuro-fuzzy approach using a set of training data collected from four test house modules. The room temperatures for the four modules have been predicted from a collection of interior surface temperatures using the ANFIS platform. It has been shown that for the test modules the ANFIS Sugeno-type modelling approach offers an accurate and reliable prediction tool by which given input-output patterns could be achieved with a satisfactory level of accuracy.
Relation: 14th International Brick & Block Masonry Conference. Proceedings of the 14th International Brick & Block Masonry Conference (Sydney 17-20 February, 2008) p. 567-578
Relation: http://www.ibmac.c2im.org.au
Date: 2008
Publisher: University of Newcastle
Keyword(s): thermal performance; masonry housing; neuro-fuzzy model; predictive models; ANFIS
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.13/44998
Identifier: ISBN:9781920701925

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