Open AccessNEURAL MODEL OF RESIDENTIAL BUILDING AIR INFILTRATION PROCESS
Author(s) -
Paweł Malinowski,
I. Polarczyk,
Jerzy Zbigniew Piotrowski
Publication year - 2006
Publication title -
journal of civil engineering and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.529
H-Index - 47
eISSN - 1822-3605
pISSN - 1392-3730
DOI - 10.3846/13923730.2006.9636377
Subject(s) - infiltration (hvac) , artificial neural network , novelty , scope (computer science) , perceptron , process (computing) , computer science , artificial intelligence , geography , meteorology , philosophy , theology , programming language , operating system
For the needs of this paper, certain area of issues associated with the infiltration process and neural networks were selected. In the scope of infiltration process, the measurements and analysis of air infiltration through the buildings have shown how difficult this process is in terms of strict mathematical models formulation. In the scope of neural networks, attention was given to multi‐layer perceptrons and systems composed of them. It must be noted that, due to the novelty of this method, a detailed description of the neuron network theory was presented in this paper as well as a thorough discussion of the neuron modelling process. The work was carried out in two stages, with the first stage covering the development of detailed methodology for the construction of neural model and the second stage in which a developed methodology was applied to modelling real objects.