Overview of the application of “fuzzy techniques” in construction management research
During the last decade,“fuzzy techniques” have been increasingly applied to the research
area of construction management discipline. To date, however, no paper has attempted to …
area of construction management discipline. To date, however, no paper has attempted to …
A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete
The compressive and tensile strength of high-performance concrete (HPC) is a highly
nonlinear function of its constituents. The significance of expert frameworks for predicting the …
nonlinear function of its constituents. The significance of expert frameworks for predicting the …
A novel technique based on the improved firefly algorithm coupled with extreme learning machine (ELM-IFF) for predicting the thermal conductivity of soil
Thermal conductivity is a specific thermal property of soil which controls the exchange of
thermal energy. If predicted accurately, the thermal conductivity of soil has a significant effect …
thermal energy. If predicted accurately, the thermal conductivity of soil has a significant effect …
Modeling heating and cooling loads by artificial intelligence for energy-efficient building design
The energy performance of buildings was estimated using various data mining techniques,
including support vector regression (SVR), artificial neural network (ANN), classification and …
including support vector regression (SVR), artificial neural network (ANN), classification and …
An artificial neural network (ANN) expert system enhanced with the electromagnetism-based firefly algorithm (EFA) for predicting the energy consumption in buildings
In this study, a new hybrid model, namely the Electromagnetism-based Firefly Algorithm-
Artificial Neural Network (EFA-ANN), is proposed to forecast the energy consumption in …
Artificial Neural Network (EFA-ANN), is proposed to forecast the energy consumption in …
Predicting the thermal conductivity of soils using integrated approach of ANN and PSO with adaptive and time-varying acceleration coefficients
This study aims to propose hybrid adaptive neuro swarm intelligence (HANSI) techniques for
predicting the thermal conductivity of unsaturated soils. The novel contribution is made by …
predicting the thermal conductivity of unsaturated soils. The novel contribution is made by …
Thermal effect on the physical properties of carbonate rocks
The effect of thermal damage on the physical properties of five carbonate rocks has been
investigated. The tests were conducted on two marbles and three limestones, mainly …
investigated. The tests were conducted on two marbles and three limestones, mainly …
Prediction of building energy consumption by using artificial neural networks
BB Ekici, UT Aksoy - Advances in Engineering Software, 2009 - Elsevier
In this study, the main objective is to predict buildings energy needs benefitting from
orientation, insulation thickness and transparency ratio by using artificial neural networks. A …
orientation, insulation thickness and transparency ratio by using artificial neural networks. A …
Prediction of uniaxial compressive strength of sandstones using petrography-based models
The uniaxial compressive strength of intact rock is the main parameter used in almost all
engineering projects. The uniaxial compressive strength test requires high quality core …
engineering projects. The uniaxial compressive strength test requires high quality core …
Application of artificial neural network for predicting hourly indoor air temperature and relative humidity in modern building in humid region
L Mba, P Meukam, A Kemajou - Energy and Buildings, 2016 - Elsevier
The prediction of the air temperature (IT) and relative humidity (IH) in a building can help to
reduce energy consumption for air conditioning. The purpose of this work was to apply the …
reduce energy consumption for air conditioning. The purpose of this work was to apply the …