Results 61 to 70 of about 17,157 (222)

Intelligent Active Vibration Control for a Flexible Beam System [PDF]

open access: yes, 2004
YesThis paper presents an investigation into the development of an intelligent active vibration control (AVC) system. Evolutionary Genetic algorithms (GAs) and Adaptive Neuro-Fuzzy Inference system (ANFIS) algorithms are used to develop mechanisms of
Dahal, Keshav P.   +3 more
core  

An adaptive neuro-fuzzy propagation model for LoRaWAN [PDF]

open access: yes, 2019
This article proposes an adaptive-network-based fuzzy inference system (ANFIS) model for accurate estimation of signal propagation using LoRaWAN. By using ANFIS, the basic knowledge of propagation is embedded into the proposed model.
Curtis, Krystyna   +3 more
core   +1 more source

Impact of Variations in Membership Functions on the Performance of ANFIS for Nonlinear Systems as a Benchmark

open access: yesEngineering Reports, Volume 8, Issue 5, May 2026.
The graphical abstract illustrates how different membership functions influence the performance of ANFIS when applied to nonlinear system control, demonstrating clear variations in overshoot, settling behavior, and training accuracy across the four MF types.
Daniel Arega Mengesha
wiley   +1 more source

An adaptive neuro fuzzy inference system to model the uniaxial compressive strength of cemented hydraulic backfill [PDF]

open access: yes, 2018
Purpose. The purpose of this paper is to develop the models for predicting the uniaxial compressive strength (UCS) of cemented hydraulic backfill (CHB), a widely used technique for filling underground voids created by mining operations as it provides ...
Basarir, H   +4 more
core   +1 more source

Review of recent advances in the design, synthesis, and modification of biochar for remediation of heavy metal pollution in water

open access: yesThe Canadian Journal of Chemical Engineering, Volume 104, Issue 4, Page 1769-1795, April 2026.
Research frontiers in using biochar for heavy metal remediation. Abstract Heavy metal contamination of water has long been a serious environmental issue. Biochar and biochar‐based composites are emerging as effective and sustainable solutions for heavy metal removal due to their strong adsorption abilities and environmentally friendly nature.
Soumik Chakma   +4 more
wiley   +1 more source

A control structure for ambidextrous robot arm based on Multiple Adaptive Neuro‐Fuzzy Inference System

open access: yesIET Control Theory & Applications, 2021
This paper presents the novel design of an ambidextrous robot arm that offers double range of motion as compared to dexterous arms. The arm is unique in terms of design (ambidextrous feature), actuation (use of two different actuators simultaneously ...
Mashood Mukhtar   +2 more
doaj   +1 more source

Simulation and Analysis of ANFIS (Adaptive Neuro-Fuzzy Inference System) for Music Genre

open access: yesIOP Conference Series: Materials Science and Engineering, 2020
Abstract Music comes in many different genres and styles according to its content, which is easy for a human listener to distinguish but hard for a machine to do. This limitation encourages the creation of a system that can help a computer to classify music genre better.
A H Pratama, W Dwiono, M T Tamam
openaire   +1 more source

Remaining Useful Life (RUL) Prediction Methods for Machine Health Estimation and Fault Diagnosis: A Comprehensive Review of Latest Techniques and Future Prospects

open access: yesEngineering Reports, Volume 8, Issue 4, April 2026.
A comprehensive review of model‐based, data‐driven, and hybrid approaches for Remaining Useful Life (RUL) prediction, emphasizing their role in predictive maintenance, fault diagnosis, and enhancing industrial reliability. ABSTRACT This paper aims to provide a state‐of‐the‐art review of the most recent Remaining Useful Life (RUL) prediction methods ...
Arslan Ahmed Amin   +4 more
wiley   +1 more source

ADAPTIVE NEURO-FUZZY COMPUTING TECHNIQUE FOR PRECIPITATION ESTIMATION

open access: yesFacta Universitatis. Series: Mechanical Engineering, 2016
The paper investigates the accuracy of an adaptive neuro-fuzzy computing technique in precipitation estimation. The monthly precipitation data from 29 synoptic stations in Serbia during 1946-2012 are used as case studies.
Dalibor Petković   +2 more
doaj   +1 more source

A Multi‐Fiber Data‐Driven Framework for Predicting Impact Resistance of Fiber‐Reinforced Concrete Using Hybrid ANN Optimization

open access: yesEngineering Reports, Volume 8, Issue 4, April 2026.
This study presents a unified, data‐driven framework for predicting the impact resistance of fiber‐reinforced concrete (FRC) using hybrid Artificial Neural Networks (ANNs) trained with Genetic Algorithm (GA) and Levenberg–Marquardt (LM) optimization techniques.
Hossein Khosravi   +2 more
wiley   +1 more source

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