An Intelligent Adaptive Neuro|Fuzzy Inference System for Modeling ...

Neuro-Adaptive Learning and ANFIS - MATLAB & Simulink

Suppose that you want to apply fuzzy inference to a system for which you already have a collection of input/output data that you would like to use for modeling, ...

Adaptive Neuro-Fuzzy Inference System Modeling - ProQuest

MFCs can perform better thanks to artificial intelligence (AI) approaches since they can help optimize, control, and make decisions [19,20,21]. AI has been ...

Application of Adaptive Neuro-Fuzzy Inference System for ...

The objectives of this study are to develop a model for predicting the compressive strength of concrete using an adaptive neuro-fuzzy inference system (ANFIS)

Lead-Free Solder Reliability Modeling Using Adaptive Neuro

future plan. 2. Literature Review. 2.1. Adaptive Neuro-Fuzzy Inference System (ANFIS). In the last decade, Artificial intelligence (AI) ...

Adaptive network based fuzzy inference system (ANFIS) training ...

Training ANFIS means determination of these parameters using an optimization algorithm. In the first ANFIS model developed by Jang, a hybrid learning approach ...

Neuro-Fuzzy Inference System (ANFIS) Model

The result of this combination is well-known as the adaptive neuro-fuzzy inference system (ANFIS). The combining of ANN with other artificial intelligence (AI) ...

Self-Balancing Vehicle Based on Adaptive Neuro-Fuzzy Inference ...

The scope of this research is to design and fuse the sensors used in the self-balancing vehicle through Adaptive Neuro-Fuzzy Inference systems (ANFIS) ...

Adaptive Neuro-fuzzy Inference System Research Articles

Efficiency increment of CFD modeling by using ANFIS artificial intelligence for thermal-based separation modeling ... This study presents a comprehensive analysis ...

An Adaptive Neuro-Fuzzy Inference System for Detection and ...

An adaptive Neural Fuzzy Inference system (ANFIS) is applied to monitor, detect, determine and correct illegal power connection. A model ...

An Adaptive Neuro-Fuzzy Inference System Modeling for Grid ... - arXiv

264-6 tap filter, and AVS- 4 tap filter. The present work uses Adaptive Neuro-Fuzzy Inference System (ANFIS) technique to model and investigate ...

Application of Adaptive Neuro-Fuzzy Inference System Control in ...

The ANFIS model is applied on control renewable energy system [7] and estimator collaborated with intelligent passivity control is used to ...

Application of an Adaptive Neuro-fuzzy Inference System and ...

Several approaches, including mathematical models and artificial intelligence have been proposed to predict the rate of penetration. Previous research has ...

Development of an adaptive neuro-fuzzy inference system... - Sciendo

Adaptive Neuro-fuzzy Inference System (ANFIS) Modelling in ... - Scite

Mentioning: 4 - Adaptive Neuro-fuzzy Inference System (ANFIS) Modelling in Energy System and Water Resources - Adedeji, Paul A., Masebinu, S. O., Akinlabi, ...

Comparison of artificial neural networks (ANN) and adaptive neuro ...

(2016). "Comparison of artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS) models in simulating polygalacturonase ...

Comparison between Neural Networks and Adaptive Neuro-fuzzy ...

... fuzzy Inference System in Modeling Lake Kerkini Water Level Fluctuation Lake Management using Artificial Intelligence. Leonidas Mpallas Department of Rural ...

Rainfall–runoff modeling using adaptive neuro-fuzzy inference ...

Therefore, the researchers found intelligent neural systems to be useful tools and turned to nature-inspired methods such as Artificial Neural ...

Adaptive Neuro-fuzzy Inference System Trained for Sizing Semi ...

The present study explores the capability of COMSOL Multiphysics, as a finite element modelling (FEM) tool, to model the interaction between ...

Adaptive neuro‐fuzzy inference systems (ANFIS) controller design ...

This method considers the system as a black-box structure which omits the need for an exact model of system and can be an appropriate technique ...

Using an adaptive network-based fuzzy inference system for ...

This study aimed to propose an intelligent predictive model to predict SA. Methods. In this retrospective study, the data of 784 elderly people ...