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Performance Assessment of Logistic Regression (LR), Artificial Neural Network (ANN), Fuzzy Inference System (FIS) and Adaptive Neuro-Fuzzy System (ANFIS) in Predicting Default Probability: The Case of a Tunisian Islamic Bank
This paper aims to compare the performance of four credit scoring models, namely logistic regression (LR), artificial neural network (ANN), fuzzy...
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Metaverse token price forecasting using artificial neural networks (ANNs) and Adaptive neural fuzzy inference system (ANFIS)
This study is about the metaverse environment which has recently heard a lot in life. Although many individuals and institutions are interested in...
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Scikit-ANFIS: A Scikit-Learn Compatible Python Implementation for Adaptive Neuro-Fuzzy Inference System
The Adaptative neuro-fuzzy inference system (ANFIS) has shown great potential in processing practical data from control, prediction, and inference...
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Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) model for Forecasting Groundwater Level in the Pravara River Basin, India
The precise prediction of groundwater level is essential for water reserve management. In this study, the two intelligence models, viz, Artificial...
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Modeling agricultural soil bulk density using artificial neural network and adaptive neuro-fuzzy inference system
Develo** models that can accurately predict the soil bulk density using other soil parameters is of great importance given the arduous task of...
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Employing Adaptive Neural Fuzzy Inference System Model Via Meta-heuristic Algorithms for Predicting Maximum Dry Density
AbstractThis article presents a novel approach to estimating the maximum dry density (MDD) of soil stabilization mixtures utilizing the Adaptive...
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Artificial neural networks (ANN), MARS, and adaptive network-based fuzzy inference system (ANFIS) to predict the stress at the failure of concrete with waste steel slag coarse aggregate replacement
Concrete is a very flexible composite material that is extensively employed in the building industry. Steel slag is a waste material produced during...
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Secure Communication Using Multi-Layer Perceptron Neural Network and the Adaptive-Network-Based Fuzzy Inference System in Wireless Network
A Wireless Sensor Network (WSN) consists of many sensor nodes that collect data from various environmental conditions using the Internet of Things...
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Research on intelligent launching control of dual clutch transmissions based on adaptive neural fuzzy inference system
Vehicle launching has an important influence on driving performance of the vehicle. For vehicles with dual clutch transmissions (DCT), the clutch...
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Employing adaptive neural fuzzy inference system model via meta-heuristic algorithms for predicting undrained shear strength
The undrained shear strength (USS) of soil is known as one of the most important features in structural engineering tasks, such as foundation design,...
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A Comparative Study of the Estimated Bending Strength of Sandwich Panels by an Artificial Neural Network and an Adaptive Neuro-Fuzzy Inference System
The effects of cattail/poplar straw weight ratio, sandwich panel thickness, and the number of kraft paper layers at the core of sandwich panels on...
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Survey on adaptative neural fuzzy inference system (ANFIS) architecture applied to photovoltaic systems
Solar energy has been considered as one of the leading renewable energy sources for electric power generation. Therefore, intending to deal with a...
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The role of artificial intelligence in develo** a banking risk index: an application of Adaptive Neural Network-Based Fuzzy Inference System (ANFIS)
Banking risk measurement and management remain one of many challenges for managers and policymakers. This study contributes to the banking literature...
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Artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS): application for a photovoltaic system under unstable environmental conditions
In this paper, artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) are used as maximum power point tracking controllers...
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Prediction of optimal mild steel weld parameters using the Adaptive Neuro-Fuzzy Inference System (ANFIS) technique
Welding is one of the major operations in many industries as it provides a durable means of joining metals and ensuring that diverse equipments are...
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Direct current field enhanced boronizing of stainless steels and predictive performance of diffusion kinetics, deep neural network, and adaptive neuro-fuzzy inference system on boride layer thickness
The boronizing process is a thermochemical surface treatment related to diffusion and requires high temperature and long-period soaking time. The...
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Prediction of breast dose in chest CT examinations using adaptive neuro-fuzzy inference system (ANFIS)
In chest computed tomography (CT), the breasts located within the scan range receive a substantial radiation dose. Due to the risk of breast-related...
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Development of Hybrid Adaptive Neural Fuzzy Inference System-Based Evolutionary Algorithms for Flexural Capacity Prediction in Corroded Steel Reinforced Concrete Beam
The damages in reinforced concrete (RC) beams due to reinforcement corrosion is a major problem in the RC industry. Accurate prediction of the...
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Performance Evaluation of Modified Kinetics, Deep Neural Network, and Adaptive Neuro-fuzzy Inference System (ANFIS) for Predicting Aluminide Layer Thickness on Deep-Rolled AISI 304 Stainless Steel
Non- and deep-rolled (mechanical surface treated) AISI 304 stainless steels were aluminized at 823 K to 948 K (550 °C to 675 °C) for 2 to 8 hours....
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Artificial neural networks and adaptive neuro-fuzzy inference systems for prediction of soil respiration in forested areas southern Brazil
The purpose of this study was to estimate the temporal variability of CO 2 emission (FCO 2 ) from O 2 influx into the soil (FO 2 ) in a reforested area...
