Comparison of machine learning models to provide preliminary forecasts of real estate prices

Bio-inspired optimization of weighted-feature machine learning for strength property prediction of fiber-reinforced soil

(2021) Jui-Sheng Chou et al.   EXPERT SYSTEMS WITH APPLICATIONS

Solving Regression Problems with Intelligent Machine Learner for Engineering Informatics

(2021) Jui-Sheng Chou et al.   Mathematics

Predicting housing price in China based on long short-term memory incorporating modified genetic algorithm

(2019) Rui Liu et al.   SOFT COMPUTING

Application of artificial neural network (ANN) for estimating reliable service life of reinforced concrete (RC) structure bookkeeping factors responsible for deterioration mechanism

(2019) Abhijeet Dey et al.   SOFT COMPUTING

Determining quality of water in reservoir using machine learning

(2018) Jui-Sheng Chou et al.   Ecological Informatics

Relief-Based Feature Selection: Introduction and Review

(2018) Ryan J. Urbanowicz et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Distributed ReliefF-based feature selection in Spark

(2018) Raul-Jose Palma-Mendoza et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Socio-economic metabolism of urban construction materials: A case study of the Taipei metropolitan area

(2018) Yishin Wang et al.   RESOURCES CONSERVATION AND RECYCLING

A self-tuning least squares support vector machine for estimating the pavement rutting behavior of asphalt mixtures

(2018) Min-Yuan Cheng et al.   SOFT COMPUTING

Forecasting Energy Consumption Time Series using Machine Learning Techniques based on Usage Patterns of Residential Householders

(2018) Jui-Sheng Chou et al.   ENERGY

Phasor particle swarm optimization: a simple and efficient variant of PSO

(2018) Mojtaba Ghasemi et al.   SOFT COMPUTING

The use of artificial intelligence combiners for modeling steel pitting risk and corrosion rate

(2017) Jui-Sheng Chou et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Peak Shear Strength of Discrete Fiber-Reinforced Soils Computed by Machine Learning and Metaensemble Methods

(2016) Jui-Sheng Chou et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Sequential wavelet-ANN with embedded ANN-PSO hybrid electricity price forecasting model for Indian energy exchange

(2016) Smitha Elsa Peter et al.   NEURAL COMPUTING & APPLICATIONS

Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran

(2016) Rahim Barzegar et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Impact of Urban Green Space on Residential Housing Prices: Case Study in Shenzhen

(2015) Jiansheng Wu et al.   JOURNAL OF URBAN PLANNING AND DEVELOPMENT

Developing a hybrid PSO–ANN model for estimating the ultimate bearing capacity of rock-socketed piles

(2015) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

Regression analysis for prediction of residential energy consumption

(2015) Nelson Fumo et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Impact of Urban Green Space on Residential Housing Prices: Case Study in Shenzhen

(2015) Jiansheng Wu et al.   JOURNAL OF URBAN PLANNING AND DEVELOPMENT

Modeling heating and cooling loads by artificial intelligence for energy-efficient building design

(2014) Jui-Sheng Chou et al.   ENERGY AND BUILDINGS

Implicit Prices in Urban Real Estate Valuation

(2014) J Núñez Tabales et al.   Revista de la Construccion

Real estate price forecasting based on SVM optimized by PSO

(2013) Xibin Wang et al.   OPTIK

Advancing monthly streamflow prediction accuracy of CART models using ensemble learning paradigms

(2012) Halil Ibrahim Erdal et al.   JOURNAL OF HYDROLOGY

The mass appraisal of the real estate by computational intelligence

(2009) Vilius Kontrimas et al.   APPLIED SOFT COMPUTING

An optimization of ReliefF for classification in large datasets

(2009) Yue Huang et al.   DATA & KNOWLEDGE ENGINEERING

A comparative study of various meta-heuristic techniques applied to the multilevel thresholding problem

(2009) Kamal Hammouche et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE