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Simulation-Optimization of Water Distribution Networks Using ANFIS-Evolutionary Techniques
This study proposes a novel simulation-optimization approach using WaterGEMS and evolutionary hybrid algorithms (ANFIS-PSO and ANFIS-GA) alongside...
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Deep Learning ANFIS Architectures
To explore the capabilities and significance of neuro-fuzzy systems, we study deep learning with Adaptive Network-based Fuzzy Inference Systems... -
Carbon price time series forecasting utilizing an optimized ANFIS model
In the continuous campaign to reduce carbon emissions and mitigate the severe effects of climate change, the strategic use of carbon price...
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Comparing the Performance of ANFIS, LOG10-ANFIS and LOG10-PSO-ANFIS for Universal Theoretical Wireless Signal Propagation Prediction Modelling
In the process of undertaking wireless signal propagation modelling, different methods have been used including deterministic and empirical models.... -
Heart disease classification based on combination of PCA /ANFIS model
PurposeThis study aims to create an intelligent system for the classification of electrocardiogram (ECG) signals using a combined approach of...
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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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Quantification of Compaction Properties of Lateritic Soils: Usage of Hybridized ANFIS Model
The material-choosing procedure for earth structures is heavily influenced by soil compaction and associated characteristics. Due to time constraints...
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Predicting slope failure with intelligent hybrid modeling of ANFIS with GA and PSO
In geotechnical engineering, soil slopes are crucial in various civil engineering projects, including highways, embankments, dams, and excavations....
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Novel Interval Type-2 ANFIS Modeling Based on One-Step Type Reducer Algorithm
In this paper, a novel structure of Interval Type-2 Adaptive Network-Fuzzy Inference System (IT2-ANFIS) for modeling dynamic systems is proposed....
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Machine learning technique ANFIS-COA for enhancing micro-milling performance by investigating the surface roughness and material removal rate
The versatility of micro milling in producing machined components makes it an indispensable instrument in many production sectors, including those...
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Bearing capacity prediction of the concrete pile using tunned ANFIS system
The design process for pile foundations necessitates meticulous deliberation of the calculation pertaining to the bearing capacity of the piles. The...
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Intelligent Rule Reduction for Improved ANFIS Performance in Classification
In data interpretation, particularly for low-dimensional data, fuzzy logic-based rule systems are valued for their transparency and interpretability... -
Friction welding parameter for AA6063 using ANFIS prediction
It is generally accepted in the field of friction welding that the parameters of rotary friction welding affect mechanical properties. Accurate input...
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An Accurate Critical Total Drawdown Prediction Model for Sand Production: Adaptive Neuro-fuzzy Inference System (ANFIS) Technique
Sand production causes many problems in the petroleum industry. The sand production is predicted to control it in the early stages. Therefore,...
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Adaptive Cascaded ANFIS MPPT Development for Solar and Fuel Cell Based Hybrid Energy System
The concept of DC microgrids has gained immense popularity in recent times due to excessive application of direct current (DC) sources including Fuel...
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Prediction Model of Cardiovascular Diseases Using ANFIS Sugeno
Cardiovascular diseases are among the killer diseases in the world. The diseases caused a lot of death, and disabilities, and contributed to high... -
Forecasting Aerodynamic Coefficients of Bi-Axial Symmetric C Plan-Shaped Tall Buildings Using ANFIS
This study addressed the challenge of forecasting the critical Angle of Attack (AOA) for tall buildings, which can significantly affect wind forces....
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ANFIS-TLBO-based optimization of drilling parameters to minimize burr formation in aluminum 6061
This research paper presents an experimental investigation conducted on a radial drilling machine, focusing on burr formation on aluminum 6061...
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Welding strength prediction in nuts to sheets joints: machine learning and ANFIS comparative analysis
This study uses machine learning algorithms and the Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict welding strength in DD13 sheet metal...
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Probabilistic Stability Analysis of Earthen Slope Using ANN, PSO-ANN, GPR and GA-ANFIS Soft Computing Techniques
In the present paper, reliability analysis is performed for soil slope stability on c–ϕ soil slope section using four different soft computing...