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EUSFLAT
2001

Intelligent modelling of the indoor climate in buildings by soft computing

12 years 1 months ago
Intelligent modelling of the indoor climate in buildings by soft computing
The paper considers the application of soft computing techniques for predictive modelling in the built sector. TakagiSugeno fuzzy models are built by subtractive clustering to provide initial values of the antecedent non-linear membership functions parameters and the consequent linear algebraic equations coefficients. A method of extensive searching the possible fuzzy model structures is presented which explores all the possible permutations for a specified range of orders to derive the initial fuzzy model. The model parameters are further adjusted by a back-propagation neural network and a real-valued genetic algorithm in order to obtain a better fit to the measured data.
Alexander Gegov
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where EUSFLAT
Authors Alexander Gegov
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