Predicting compressive strength of manufactured-sand concrete using conventional and metaheuristic-tuned artificial neural network

A neural network-based multivariate seismic classifier for simultaneous post-earthquake fragility estimation and damage classification

(2022) Xinzhe Yuan et al.   ENGINEERING STRUCTURES

An intelligent model for the prediction of the compressive strength of cementitious composites with ground granulated blast furnace slag based on ultrasonic pulse velocity measurements

(2021) Sławomir Czarnecki et al.   MEASUREMENT

An innovative coupled model in view of wavelet transform for predicting short-term PM10 concentration

(2021) Weibiao Qiao et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Prediction of Compressive Strength of Concrete with Manufactured Sand by Ensemble Classification and Regression Tree Method

(2021) Qiang Ren et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Optimal architecture of a convolutional neural network to estimate structural responses for safety evaluation of the structures

(2021) Byung Kwan Oh et al.   MEASUREMENT

A combination model based on wavelet transform for predicting the difference between monthly natural gas production and consumption of U.S.

(2021) Weibiao Qiao et al.   ENERGY

Landslide susceptibility mapping using artificial neural network tuned by metaheuristic algorithms

(2021) Mohammad Mehrabi et al.   Environmental Earth Sciences

Fastest‐growing source prediction of US electricity production based on a novel hybrid model using wavelet transform

(2021) Weibiao Qiao et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Predicting the compressive strength of concrete containing metakaolin with different properties using ANN

(2021) M.J. Moradi et al.   MEASUREMENT

Daily natural gas load forecasting based on the combination of long short term memory, local mean decomposition, and wavelet threshold denoising algorithm

(2021) Shanbi Peng et al.   Journal of Natural Gas Science and Engineering

Developing Hybrid Machine Learning Models for Estimating the Unconfined Compressive Strength of Jet Grouting Composite: A Comparative Study

(2020) Yuantian Sun et al.   Applied Sciences-Basel

Fuzzy-metaheuristic ensembles for spatial assessment of forest fire susceptibility

(2020) Hossein Moayedi et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Effective Compressive Strengths of Corner and Edge Concrete Columns Based on an Adaptive Neuro-Fuzzy Inference System

(2020) Hae-Chang Cho et al.   Applied Sciences-Basel

Toward intelligent construction: Prediction of mechanical properties of manufactured-sand concrete using tree-based models

(2020) Junfei Zhang et al.   JOURNAL OF CLEANER PRODUCTION

ANFIS Modeling with ICA, BBO, TLBO, and IWO Optimization Algorithms and Sensitivity Analysis for Predicting Daily Reference Evapotranspiration

(2020) Maryam Zeinolabedini Rezaabad et al.   JOURNAL OF HYDROLOGIC ENGINEERING

The Use of Fuzzy Linear Regression and ANFIS Methods to Predict the Compressive Strength of Cement

(2020) Fani Gkountakou et al.   Symmetry-Basel

Compressive strength prediction of high-performance concrete using gradient tree boosting machine

(2020) Mosbeh R. Kaloop et al.   CONSTRUCTION AND BUILDING MATERIALS

Underwater targets classification using local wavelet acoustic pattern and Multi-Layer Perceptron neural network optimized by modified Whale Optimization Algorithm

(2020) Weibiao Qiao et al.   OCEAN ENGINEERING

The role of computational fluid dynamics tools on investigation of pathogen transmission: Prevention and control

(2020) Shanbi Peng et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete

(2019) Dong Dao et al.   Materials

A hybrid computational intelligence approach for predicting soil shear strength for urban housing construction: a case study at Vinhomes Imperia project, Hai Phong city (Vietnam)

(2019) Viet-Ha Nhu et al.   ENGINEERING WITH COMPUTERS

Combination of Support Vector Machine and K-Fold cross validation to predict compressive strength of concrete in marine environment

(2019) Hao Ling et al.   CONSTRUCTION AND BUILDING MATERIALS

Fine-tuning of neural computing using whale optimization algorithm for predicting compressive strength of concrete

(2019) Dieu Tien Bui et al.   ENGINEERING WITH COMPUTERS

Soft computing based formulations for slump, compressive strength, and elastic modulus of bentonite plastic concrete

(2019) Amir Tavana Amlashi et al.   JOURNAL OF CLEANER PRODUCTION

Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete

(2019) Ly et al.   Applied Sciences-Basel

Application of Three Metaheuristic Techniques in Simulation of Concrete Slump

(2019) Moayedi et al.   Applied Sciences-Basel

Prediction of the Strength of Rubberized Concrete by an Evolved Random Forest Model

(2019) Yuantian Sun et al.   Advances in Civil Engineering

Predicting compressive strength of lightweight foamed concrete using extreme learning machine model

(2018) Zaher Mundher Yaseen et al.   ADVANCES IN ENGINEERING SOFTWARE

Modelling and optimization of ultimate bearing capacity of strip footing near a slope by soft computing methods

(2018) Hossein Moayedi et al.   APPLIED SOFT COMPUTING

Design of fly ash geopolymer concrete mix proportions using Multivariate Adaptive Regression Spline model

(2018) Weena Lokuge et al.   CONSTRUCTION AND BUILDING MATERIALS

A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete

(2018) Dac-Khuong Bui et al.   CONSTRUCTION AND BUILDING MATERIALS

Neural network and particle swarm optimization for predicting the unconfined compressive strength of cemented paste backfill

(2018) Chongchong Qi et al.   CONSTRUCTION AND BUILDING MATERIALS

Novel approach for dam break flow modeling using computational intelligence

(2018) Omid Seyedashraf et al.   JOURNAL OF HYDROLOGY

Automating pseudo-static analysis of concrete cantilever retaining wall using evolutionary algorithms

(2018) Amir H. Gandomi et al.   MEASUREMENT

Prediction of compressive strength and ultrasonic pulse velocity of fiber reinforced concrete incorporating nano silica using heuristic regression methods

(2018) Ali Ashrafian et al.   CONSTRUCTION AND BUILDING MATERIALS

Modification of landslide susceptibility mapping using optimized PSO-ANN technique

(2018) Hossein Moayedi et al.   ENGINEERING WITH COMPUTERS

Design and implementation of a neighborhood search biogeography-based optimization trainer for classifying sonar dataset using multi-layer perceptron neural network

(2018) M. Kaveh et al.   ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING

Estimating the optimal mix design of silica fume concrete using biogeography-based programming

(2018) Emadaldin Mohammadi Golafshani et al.   CEMENT & CONCRETE COMPOSITES

Genetic programming for experimental big data mining: A case study on concrete creep formulation

(2016) Amir H. Gandomi et al.   AUTOMATION IN CONSTRUCTION

Multi-tracker Optimization Algorithm: A General Algorithm for Solving Engineering Optimization Problems

(2016) Ehsan Zakeri et al.   Iranian Journal of Science and Technology-Transactions of Mechanical Engineering

Slope Stability Analysis Based on Experimental Design

(2016) Srđan Kostić et al.   International Journal of Geomechanics

Modelling of compressive strength of geopolymer paste, mortar and concrete by optimized support vector machine

(2015) Ali Nazari et al.   CERAMICS INTERNATIONAL

Modeling slump of ready mix concrete using genetic algorithms assisted training of Artificial Neural Networks

(2015) Vinay Chandwani et al.   EXPERT SYSTEMS WITH APPLICATIONS

Prediction of concrete compressive strength: Research on hybrid models genetic based algorithms and ANFIS

(2013) Zhe Yuan et al.   ADVANCES IN ENGINEERING SOFTWARE

Determination of compressive strength of concrete using Self Organization Feature Map (SOFM)

(2013) Mehdi Nikoo et al.   ENGINEERING WITH COMPUTERS

Prediction of the compressive strength of no-slump concrete: A comparative study of regression, neural network and ANFIS models

(2009) Jafar Sobhani et al.   CONSTRUCTION AND BUILDING MATERIALS

Biogeography-Based Optimization

(2008) D. Simon   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION