Predicting building's corners hygrothermal behavior by using a Fuzzy inference system combined with clustering and Kalman filter
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Viviana Cocco Mariani | Roberto Zanetti Freire | Gerson Henrique dos Santos | Leandro dos Santos Coelho
[1] Zhenan Tang,et al. Interval inverse analysis of hyperbolic heat conduction problem , 2014 .
[2] Nathan Mendes,et al. Hygrothermal bridge effects on the performance of buildings , 2014 .
[3] Leandro dos Santos Coelho,et al. Particle swarm approaches using Lozi map chaotic sequences to fuzzy modelling of an experimental thermal-vacuum system , 2008, Appl. Soft Comput..
[4] Y. Varol,et al. Prediction of flow fields and temperature distributions due to natural convection in a triangular enclosure using Adaptive-Network-Based Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) , 2007 .
[5] Dimitar Filev,et al. Generation of Fuzzy Rules by Mountain Clustering , 1994, J. Intell. Fuzzy Syst..
[6] Hartwig M. Künzel,et al. Hygrothermal Properties and Behaviour of Concrete , 2008 .
[7] Monika Woloszyn,et al. Identification of the hygrothermal properties of a building envelope material by the covariance matrix adaptation evolution strategy , 2016 .
[8] Seyfolah Saedodin,et al. Designing an artificial neural network to predict thermal conductivity and dynamic viscosity of ferromagnetic nanofluid , 2015 .
[9] Michio Sugeno,et al. Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[10] Nathan Mendes,et al. Identification of temperature and moisture content fields using a combined neural network and clustering method approach , 2009 .
[11] Alireza Akbarzadeh Tootoonchi,et al. Controlling automobile thermal comfort using optimized fuzzy controller , 2008 .
[12] Stephen L. Chiu,et al. Fuzzy Model Identification Based on Cluster Estimation , 1994, J. Intell. Fuzzy Syst..
[13] Nathan Mendes,et al. A building corner model for hygrothermal performance and mould growth risk analyses , 2009 .
[14] Nathan Mendes,et al. A new mathematical method to solve highly coupled equations of heat and mass transfer in porous media , 2002 .
[15] Hakan F. Oztop,et al. Fuzzy-based estimation of mixed convection heat transfer in a square cavity in the presence of an adiabatic inclined fin , 2012 .
[16] S. Wang,et al. Geometry estimation for the inner surface in a furnace wall made of functionally graded materials , 2015 .
[17] Mehdi Mehrabi,et al. Application of the FCM-based neuro-fuzzy inference system and genetic algorithm-polynomial neural network approaches to modelling the thermal conductivity of alumina–water nanofluids , 2012 .
[18] Eun Chul Kang,et al. A study of photovoltaic/thermal (PVT)-ground source heat pump hybrid system by using fuzzy logic control , 2015 .
[19] Georgios B. Giannakis,et al. A bibliography on nonlinear system identification , 2001, Signal Process..
[20] Igor Škrjanc,et al. Using a fuzzy black-box model to estimate the indoor illuminance in buildings , 2014 .
[21] Monika Woloszyn,et al. Whole Building Heat, Air, Moisture Response: Modelling Principles and Common Exercises , 2008 .
[22] Leandro dos Santos Coelho,et al. Identification of the Hénon chaotic map by fuzzy modeling and Nelder–Mead simplex method , 2009 .
[23] Stephen Chiu. Method and Software for Extracting Fuzzy Classification Subtractive Clustering , 1996 .
[24] R. E. Kalman,et al. A New Approach to Linear Filtering and Prediction Problems , 2002 .
[25] Ali Mirsepahi,et al. A comparative approach of inverse modelling applied to an irradiative batch dryer employing several artificial neural networks , 2014 .
[26] Jon Hand,et al. CONTRASTING THE CAPABILITIES OF BUILDING ENERGY PERFORMANCE SIMULATION PROGRAMS , 2008 .