A Comparative Study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in Estimating the Heating Load of Buildings’ Energy Efficiency for Smart City Planning

Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures

(2019) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Design of neural network predictive controller based on imperialist competitive algorithm for automatic voltage regulator

(2019) M. Elsisi   NEURAL COMPUTING & APPLICATIONS

Modeling of CO Emissions from Traffic Vehicles Using Artificial Neural Networks

(2019) Omer Azeez et al.   Applied Sciences-Basel

Prediction of Blast-Induced Ground Vibration in an Open-Pit Mine by a Novel Hybrid Model Based on Clustering and Artificial Neural Network

(2019) Hoang Nguyen et al.   Natural Resources Research

Developing a predictive method based on optimized M5Rules–GA predicting heating load of an energy-efficient building system

(2019) Xuan-Nam Bui et al.   ENGINEERING WITH COMPUTERS

Prediction of ultimate bearing capacity through various novel evolutionary and neural network models

(2019) Hossein Moayedi et al.   ENGINEERING WITH COMPUTERS

Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm

(2019) Jian Zhou et al.   ENGINEERING WITH COMPUTERS

Optimization of ANFIS with GA and PSO estimating α ratio in driven piles

(2019) Hossein Moayedi et al.   ENGINEERING WITH COMPUTERS

A comparison of advanced computational models and experimental techniques in predicting blast-induced ground vibration in open-pit coal mine

(2019) Hoang Nguyen et al.   Acta Geophysica

Optimizing Levenberg–Marquardt backpropagation technique in predicting factor of safety of slopes after two-dimensional OptumG2 analysis

(2019) Xuan-Nam Bui et al.   ENGINEERING WITH COMPUTERS

Proposing a novel predictive technique using M5Rules-PSO model estimating cooling load in energy-efficient building system

(2019) Hoang Nguyen et al.   ENGINEERING WITH COMPUTERS

Optimizing ANN models with PSO for predicting short building seismic response

(2019) Hoang Nguyen et al.   ENGINEERING WITH COMPUTERS

Prediction of the Dynamic Stiffness of Resilient Materials using Artificial Neural Network (ANN) Technique

(2019) Changhyuk Kim et al.   Applied Sciences-Basel

Deterministic and Probabilistic Wind Power Forecasting Based on Bi-Level Convolutional Neural Network and Particle Swarm Optimization

(2019) Yang et al.   Applied Sciences-Basel

A Review of the Use of Artificial Neural Network Models for Energy and Reliability Prediction. A Study of the Solar PV, Hydraulic and Wind Energy Sources

(2019) Jesús Ferrero Bermejo et al.   Applied Sciences-Basel

Optimal Energy Routing Design in Energy Internet with Multiple Energy Routing Centers Using Artificial Neural Network-Based Reinforcement Learning Method

(2019) Dan-Lu Wang et al.   Applied Sciences-Basel

Novel Soft Computing Model for Predicting Blast-Induced Ground Vibration in Open-Pit Mines Based on Particle Swarm Optimization and XGBoost

(2019) Xiliang Zhang et al.   Natural Resources Research

A Novel Artificial Intelligence Approach to Predict Blast-Induced Ground Vibration in Open-Pit Mines Based on the Firefly Algorithm and Artificial Neural Network

(2019) Yonghui Shang et al.   Natural Resources Research

Predicting the average size of blasted rocks in aggregate quarries using artificial neural networks

(2018) Lamprini Dimitraki et al.   Bulletin of Engineering Geology and the Environment

Adaptive learning based data-driven models for predicting hourly building energy use

(2018) Liping Wang et al.   ENERGY AND BUILDINGS

Krill herd algorithm-based neural network in structural seismic reliability evaluation

(2018) Panagiotis G. Asteris et al.   MECHANICS OF ADVANCED MATERIALS AND STRUCTURES

Estimating heating load in buildings using multivariate adaptive regression splines, extreme learning machine, a hybrid model of MARS and ELM

(2018) Sanjiban Sekhar Roy et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities

(2018) Bhagya Nathali Silva et al.   Sustainable Cities and Society

A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam

(2018) Hoang Nguyen et al.   NEURAL COMPUTING & APPLICATIONS

A D-vine copula quantile regression approach for the prediction of residential heating energy consumption based on historical data

(2018) Rochus Niemierko et al.   APPLIED ENERGY

Early predicting cooling loads for energy-efficient design in office buildings by machine learning

(2018) Ngoc-Tri Ngo   ENERGY AND BUILDINGS

Fractional stochastic resonance multi-parameter adaptive optimization algorithm based on genetic algorithm

(2018) Yongjun Zheng et al.   NEURAL COMPUTING & APPLICATIONS

The future of waste management in smart and sustainable cities: A review and concept paper

(2018) Behzad Esmaeilian et al.   WASTE MANAGEMENT

Predicting Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest

(2018) Hoang Nguyen et al.   Natural Resources Research

A Review of Smart Cities Based on the Internet of Things Concept

(2017) Saber Talari et al.   Energies

Artificial neural networks to predict energy performance and retrofit scenarios for any member of a building category: A novel approach

(2017) Fabrizio Ascione et al.   ENERGY

Comparison of linear regression and artificial neural networks models to predict heating and cooling energy demand, energy consumption and CO 2 emissions

(2017) Rafael Pino-Mejías et al.   ENERGY

An improved artificial bee colony algorithm with modified-neighborhood-based update operator and independent-inheriting-search strategy for global optimization

(2017) Fuli Zhong et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials

(2017) Panagiotis Asteris et al.   SENSORS

Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition

(2017) Danial Jahed Armaghani et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Shallow Landslide Susceptibility Modeling Using the Data Mining Models Artificial Neural Network and Boosted Tree

(2017) Hyun-Joo Oh et al.   Applied Sciences-Basel

Smart sustainable cities of the future: An extensive interdisciplinary literature review

(2017) Simon Elias Bibri et al.   Sustainable Cities and Society

Applied machine learning: Forecasting heat load in district heating system

(2016) Samuel Idowu et al.   ENERGY AND BUILDINGS

Prediction of self-compacting concrete strength using artificial neural networks

(2016) P.G. Asteris et al.   European Journal of Environmental and Civil Engineering

A hybrid intelligent model combining ANN and imperialist competitive algorithm for prediction of corrosion rate in 3C steel under seawater environment

(2016) Amin Zadeh Shirazi et al.   NEURAL COMPUTING & APPLICATIONS

An archive-based artificial bee colony optimization algorithm for multi-objective continuous optimization problem

(2016) Jiaxu Ning et al.   NEURAL COMPUTING & APPLICATIONS

Anisotropic masonry failure criterion using artificial neural networks

(2016) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Airblast prediction through a hybrid genetic algorithm-ANN model

(2016) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of the Fundamental Period of Infilled RC Frame Structures Using Artificial Neural Networks

(2016) Panagiotis G. Asteris et al.   Computational Intelligence and Neuroscience

Prediction of energy performance of residential buildings: A genetic programming approach

(2015) Mauro Castelli et al.   ENERGY AND BUILDINGS

Prediction of seismic slope stability through combination of particle swarm optimization and neural network

(2015) Behrouz Gordan et al.   ENGINEERING WITH COMPUTERS

A combination of the ICA-ANN model to predict air-overpressure resulting from blasting

(2015) Danial Jahed Armaghani et al.   ENGINEERING WITH COMPUTERS

Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting

(2015) Danial Jahed Armaghani et al.   Environmental Earth Sciences

Prediction of blast-induced air overpressure: a hybrid AI-based predictive model

(2015) Danial Jahed Armaghani et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan

(2015) Jie Dou et al.   NATURAL HAZARDS

Shallow and Deep-Seated Landslide Differentiation Using Support Vector Machines: A Case Study of the Chuetsu Area, Japan

(2015) Jie Dou et al.   TERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES

A survey on the Imperialist Competitive Algorithm metaheuristic: Implementation in engineering domain and directions for future research

(2014) Seyedmohsen Hosseini et al.   APPLIED SOFT COMPUTING

Modeling of masonry failure surface under biaxial compressive stress using Neural Networks

(2014) Vagelis Plevris et al.   CONSTRUCTION AND BUILDING MATERIALS

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

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

Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization

(2013) D. Jahed Armaghani et al.   Arabian Journal of Geosciences

Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools

(2012) Athanasios Tsanas et al.   ENERGY AND BUILDINGS

Multiple regression model for fast prediction of the heating energy demand

(2012) Tiberiu Catalina et al.   ENERGY AND BUILDINGS

A review on the prediction of building energy consumption

(2012) Hai-xiang Zhao et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS