Adapted techniques of explainable artificial intelligence for explaining genetic algorithms on the example of job scheduling
YC Wang, T Chen - Expert Systems with Applications, 2024 - Elsevier
Many evolutionary artificial intelligence (AI) technologies have been applied to assist with
job scheduling in manufacturing. One of the main approaches is genetic algorithms (GAs) …
job scheduling in manufacturing. One of the main approaches is genetic algorithms (GAs) …
Influence of data splitting on performance of machine learning models in prediction of shear strength of soil
The main objective of this study is to evaluate and compare the performance of different
machine learning (ML) algorithms, namely, Artificial Neural Network (ANN), Extreme …
machine learning (ML) algorithms, namely, Artificial Neural Network (ANN), Extreme …
Estimating compressive strength of concrete using neural electromagnetic field optimization
Concrete compressive strength (CCS) is among the most important mechanical
characteristics of this widely used material. This study develops a novel integrative method …
characteristics of this widely used material. This study develops a novel integrative method …
Development of deep neural network model to predict the compressive strength of rubber concrete
This paper presents an innovative development process of a Deep Neural Network model to
predict the compressive strength of rubber concrete. To this goal, a rubber concrete …
predict the compressive strength of rubber concrete. To this goal, a rubber concrete …
Predicting compressive strength of manufactured-sand concrete using conventional and metaheuristic-tuned artificial neural network
Y Zhao, H Hu, C Song, Z Wang - Measurement, 2022 - Elsevier
Compressive strength (CS) is the maximum resistance of concrete against axial
compressive loading in standard conditions. Estimation of this parameter is essential for the …
compressive loading in standard conditions. Estimation of this parameter is essential for the …
Development of advanced artificial intelligence models for daily rainfall prediction
In this study, the main objective is to develop and compare several advanced Artificial
Intelligent (AI) models namely Adaptive Network based Fuzzy Inference System optimized …
Intelligent (AI) models namely Adaptive Network based Fuzzy Inference System optimized …
A sensitivity and robustness analysis of GPR and ANN for high-performance concrete compressive strength prediction using a Monte Carlo simulation
This study aims to analyze the sensitivity and robustness of two Artificial Intelligence (AI)
techniques, namely Gaussian Process Regression (GPR) with five different kernels …
techniques, namely Gaussian Process Regression (GPR) with five different kernels …
Metaheuristic optimization of Levenberg–Marquardt-based artificial neural network using particle swarm optimization for prediction of foamed concrete compressive …
Foamed concrete (FC) shows advantageous applications in civil engineering, such as
reduction in dead loads, contribution to energy conservation, or decrease the construction …
reduction in dead loads, contribution to energy conservation, or decrease the construction …
Geopolymer concrete compressive strength via artificial neural network, adaptive neuro fuzzy interface system, and gene expression programming with K-fold cross …
The ultrafine fly ash (FA) is a hazardous material collected from coal productions, which has
been proficiently employed for the manufacturing of geopolymer concrete (GPC). In this …
been proficiently employed for the manufacturing of geopolymer concrete (GPC). In this …
Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models
The main objective of the present work is to estimate the load-carrying capacity of concrete-
filled steel tubes (CFST) under axial compression using hybrid artificial intelligence (AI) …
filled steel tubes (CFST) under axial compression using hybrid artificial intelligence (AI) …