Soft computing methodologies for estimation of energy consumption in buildings with different envelope parameters

Predicting optimum parameters of a protective spur dike using soft computing methodologies – A comparative study

(2014) Hossein Basser et al.   COMPUTERS & FLUIDS

Structure, energy and cost efficiency evaluation of three different lightweight construction systems used in low-rise residential buildings

(2014) Sareh Naji et al.   ENERGY AND BUILDINGS

A prediction model based on neural networks for the energy consumption of a bioclimatic building

(2014) R. Mena et al.   ENERGY AND BUILDINGS

Adaptive neuro-fuzzy selection of the optimal parameters of protective spur dike

(2014) Hossein Basser et al.   NATURAL HAZARDS

A cooperative expert based support vector regression (Co-ESVR) system to determine collar dimensions around bridge pier

(2014) Afshin Jahangirzadeh et al.   NEUROCOMPUTING

Green roofs as passive system for energy savings in buildings during the cooling period: use of rubber crumbs as drainage layer

(2014) Julià Coma et al.   Energy Efficiency

Sustainability assessment of an innovative lightweight building technology for partition walls – Comparison with conventional technologies

(2013) Ricardo Mateus et al.   BUILDING AND ENVIRONMENT

A dynamic particle filter-support vector regression method for reliability prediction

(2013) Zhao Wei et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Experimental evaluation of insulation materials for walls and roofs and their impact on indoor thermal comfort under composite climate

(2012) Ashok Kumar et al.   BUILDING AND ENVIRONMENT

Neural network and polynomial approximated thermal comfort models for HVAC systems

(2012) M. Castilla et al.   BUILDING AND ENVIRONMENT

Iterated time series prediction with multiple support vector regression models

(2012) Li Zhang et al.   NEUROCOMPUTING

Effect of thermal mass on life cycle primary energy balances of a concrete- and a wood-frame building

(2011) Ambrose Dodoo et al.   APPLIED ENERGY

Batch-mode semi-supervised active learning for statistical machine translation

(2011) Sankaranarayanan Ananthakrishnan et al.   COMPUTER SPEECH AND LANGUAGE

Genetic-algorithm based approach to optimize building envelope design for residential buildings

(2010) Daniel Tuhus-Dubrow et al.   BUILDING AND ENVIRONMENT

Life cycle primary energy analysis of residential buildings

(2009) Leif Gustavsson et al.   ENERGY AND BUILDINGS

Overview of energy consumption and GHG mitigation technologies in the building sector of Japan

(2009) Shuzo Murakami et al.   Energy Efficiency

Prediction of building energy consumption by using artificial neural networks

(2008) Betul Bektas Ekici et al.   ADVANCES IN ENGINEERING SOFTWARE

Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption

(2008) Alberto Hernandez Neto et al.   ENERGY AND BUILDINGS

Sentiment classification of online reviews to travel destinations by supervised machine learning approaches

(2008) Qiang Ye et al.   EXPERT SYSTEMS WITH APPLICATIONS

Localized support vector regression for time series prediction

(2008) Haiqin Yang et al.   NEUROCOMPUTING

Support vector regression methodology for storm surge predictions

(2008) S. Rajasekaran et al.   OCEAN ENGINEERING