Browsing USN Open Archive by Author "Moayedi, Hossein"
Now showing items 1-16 of 16
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Application of Three Metaheuristic Techniques in Simulation of Concrete Slump
Moayedi, Hossein; Kalantar, Bahareh; Foong, Loke Kok; Tien Bui, Dieu; Motevalli, Alireza (Journal article; Peer reviewed, 2019)Slump is a workability-related characteristic of concrete mixture. This paper investigates the efficiency of a novel optimizer, namely ant lion optimization (ALO), for fine-tuning of a neural network (NN) in the field of ... -
Development of Two Novel Hybrid Prediction Models Estimating Ultimate Bearing Capacity of the Shallow Circular Footing
Moayedi, Hossein; Kalantar, Bahareh; Dounis, Anastasios; Tien Bui, Dieu; Foong, Loke Kok (Peer reviewed; Journal article, 2019)In the present work, we employed artificial neural network (ANN) that is optimized with two hybrid models, namely imperialist competition algorithm (ICA) as well as particle swarm optimization (PSO) in the case of the ... -
Machine-Learning-Based Classification Approaches toward Recognizing Slope Stability Failure
Moayedi, Hossein; Tien Bui, Dieu; Kalantar, Bahareh; Foong, Loke Kok (Peer reviewed; Journal article, 2019)In this paper, the authors investigated the applicability of combining machine-learning-based models toward slope stability assessment. To do this, several well-known machine-learning-based methods, namely multiple linear ... -
Neural Computing Improvement Using Four Metaheuristic Optimizers in Bearing Capacity Analysis of Footings Settled on Two-Layer Soils
Moayedi, Hossein; Tien Bui, Dieu; Ngo, Phuong Thao (Peer reviewed; Journal article, 2019)This study outlines the applicability of four metaheuristic algorithms, namely, whale optimization algorithm (WOA), league champion optimization (LCA), moth–flame optimization (MFO), and ant colony optimization (ACO), for ... -
A Novel Application of League Championship Optimization (LCA): Hybridizing Fuzzy Logic for Soil Compression Coefficient Analysis
Moayedi, Hossein; Tien Bui, Dieu; Dounis, Anastasios; Ngo, Phuong Thao Thi (Peer reviewed; Journal article, 2020)Employing league championship optimization (LCA) technique for adjusting the membership function parameters of the adaptive neuro-fuzzy inference system (ANFIS) is the focal objective of the present study. The mentioned ... -
Novel Nature-Inspired Hybrids of Neural Computing for Estimating Soil Shear Strength
Moayedi, Hossein; Tien Bui, Dieu; Dounis, Anastasios; Foong, Loke Kok; Kalantar, Bahareh (Peer reviewed; Journal article, 2019)This paper focuses on the prediction of soil shear strength (SSS), which is one of the most fundamental parameters in geotechnical engineering. Consisting of 12 influential factors, namely depth of sample, percentage of ... -
Predicting Heating Load in Energy-Efficient Buildings Through Machine Learning Techniques
Moayedi, Hossein; Tien Bui, Dieu; Dounis, Anastasios; Lyu, Zongjie; Foong, Loke Kok (Peer reviewed; Journal article, 2019)The heating load calculation is the first step of the iterative heating, ventilation, and air conditioning (HVAC) design procedure. In this study, we employed six machine learning techniques, namely multi-layer perceptron ... -
Predicting Slope Stability Failure through Machine Learning Paradigms
Tien Bui, Dieu; Moayedi, Hossein; Gör, Mesut; Jaafari, Abolfazl; Foong, Loke Kok (Peer reviewed; Journal article, 2019)In this study, we employed various machine learning-based techniques in predicting factor of safety against slope failures. Different regression methods namely, multi-layer perceptron (MLP), Gaussian process regression ... -
Prediction of Pullout Behavior of Belled Piles through Various Machine Learning Modelling Techniques
Tien Bui, Dieu; Moayedi, Hossein; Abdullahi, Mu’azu Mohammed; Rashid, Ahmad Safuan A; Nguyen, Hoang (Journal article; Peer reviewed, 2019)The main goal of this study is to estimate the pullout forces by developing various modelling technique like feedforward neural network (FFNN), radial basis functions neural networks (RBNN), general regression neural network ... -
Shuffled Frog Leaping Algorithm and Wind-Driven Optimization Technique Modified with Multilayer Perceptron
Moayedi, Hossein; Tien Bui, Dieu; Ngo, Phuong Thao Thi (Peer reviewed; Journal article, 2020)The prediction aptitude of an artificial neural network (ANN) is improved by incorporating two novel metaheuristic techniques, namely, the shuffled frog leaping algorithm (SFLA) and wind-driven optimization (WDO), for the ... -
Slope Stability Monitoring Using Novel Remote Sensing Based Fuzzy Logic
Moayedi, Hossein; Tien Bui, Dieu; Foong, Loke Kok (Journal article; Peer reviewed, 2019)By the assist of remotely sensed data, this study examines the viability of slope stability monitoring using two novel conventional models. The proposed models are considered to be the combination of neuro-fuzzy (NF) system ... -
Spatial assessment of landslide risk using two novel integrations of neuro-fuzzy system and metaheuristic approaches; Ardabil Province, Iran
Moayedi, Hossein; Khari, Mahdy; Bahiraei, Mehdi; Foong, Loke Kok; Tien Bui, Dieu (Peer reviewed; Journal article, 2020)This article addresses the spatial analysis of landslide susceptibility in the Ardabil province of Iran. To this end, two well-known optimization algorithms, namely genetic algorithm (GA) and particle swarm optimization ... -
Spatial Landslide Susceptibility Assessment Based on Novel Neural-Metaheuristic Geographic Information System Based Ensembles
Moayedi, Hossein; Osouli, Abdolreza; Tien Bui, Dieu; Foong, Loke Kok (Peer reviewed; Journal article, 2019)Regular optimization techniques have been widely used in landslide-related problems. This paper outlines two novel optimizations of artificial neural network (ANN) using grey wolf optimization (GWO) and biogeography-based ... -
Spotted Hyena Optimizer and Ant Lion Optimization in Predicting the Shear Strength of Soil
Moayedi, Hossein; Tien Bui, Dieu; Anastasios, Dounis; Kalantar, Bahareh (Peer reviewed; Journal article, 2019)Two novel hybrid predictors are suggested as the combination of artificial neural network (ANN), coupled with spotted hyena optimizer (SHO) and ant lion optimization (ALO) metaheuristic techniques, to simulate soil shear ... -
The Feasibility of Three Prediction Techniques of the Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System, and Hybrid Particle Swarm Optimization for Assessing the Safety Factor of Cohesive Slopes
Moayedi, Hossein; Tien Bui, Dieu; Gör, Mesut; Pradhan, Biswajeet; Jaafari, Abolfazl (Journal article; Peer reviewed, 2019)In this paper, a neuro particle-based optimization of the artificial neural network (ANN) is investigated for slope stability calculation. The results are also compared to another artificial intelligence technique of a ... -
Two novel neural-evolutionary predictivetechniques of dragonfly algorithm (DA) andbiogeography-based optimization (BBO)forlandslide susceptibility analysis
Moayedi, Hossein; Osouli, Abdolreza; Tien Bui, Dieu; Foong, Loke Kok; Nguyen, Hoang; Kalantar, Bahareh (Peer reviewed; Journal article, 2019)Due to the wide application of evolutionary science in different engineering problems, the main aim of this paper is to present two novel optimizations of multi-layer perceptron (MLP) neural network, namely dragonfly ...