Results 91 to 100 of about 30,862 (228)

Suitability Assessment of Cage Fish Farming Location in Reservoirs through Neural Networks-Based Remote Sensing Analysis

Remote Sensing
The present study evaluates the application of different artificial intelligence methods associated with remote sensing data processing for assessing water quality parameters, with a focus on fish cage farming in the reservoirs.
Mahdi Sedighkia, Bithin Datta
doaj   +1 more source

Control of DC-DC Buck Converter Based on Adaptive Neuro Fuzzy Inference System (ANFIS)

JTEIN: Jurnal Teknik Elektro Indonesia
Various electrical equipment uses direct voltage (DC) as its power source, such as electronic equipment, dc motors and so on. Direct voltage (DC) used in electrical equipment usually consists of various voltage ratings ranging from 1.5 volts, 3 volts, 6 volts 12 volts and others.
Muharani Syafitri, Muldi Yuhendri
openaire   +2 more sources

PREDICTION OF ECONOMIC GROWTH RATE OF TUBAN REGENCY WITH ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM ALGORITHM

Barekeng
This research aims to implement and evaluate the accuracy of the Adaptive Neuro Fuzzy Inference System (ANFIS) forward stage method to predict the economic growth rate of the Tuban Regency. In the application of ANFIS, two types of variables are required,
Maya Muaziza, Ahmad Zaenal Arifin, Suzatmo Putro   +2 more
doaj   +1 more source

A new hybrid model using Step-wise Weight Assessment Ratio Analysis (SWARA) technique and Adaptive Neuro-fuzzy Inference System (ANFIS) for regional landslide hazard assessment in Iran

, 2015
A. Dehnavi, Iman Nasiri Aghdam, B. Pradhan, Mohammad Hossein Morshed Varzandeh   +3 more
semanticscholar   +1 more source

Enhancing Power Quality in Grid-Integrated Hybrid Renewable Energy System using ANFIS-FBSO

Power Electronics and Drives
The incorporation of hybrid renewable energy sources (RESs) into grid-integrated systems, comprising photovoltaic (PV) systems, wind turbines (WTs) and battery energy storage systems (BESSs), has become increasingly crucial in meeting global energy ...
Singh Manpreet, Singh Lakhwinder
doaj   +1 more source

Prediction of tensile strength of friction stir weld joints with adaptive neuro-fuzzy inference system (ANFIS) and neural network

, 2016
Mohammad W. Dewan¹, Daniel J. Huggett¹, T. W. Liao¹, Muhammad A. Wahab¹, Ayman M. Okeil²   +4 more
semanticscholar   +1 more source

Diagnosis of Hepatitis using Adaptive Neuro-Fuzzy Inference System (ANFIS)

International Journal of Computer Applications, 2018
Kasali Funmilayo, Omotosho Olawale, Rahmon Ibrahim   +2 more
openaire   +1 more source

Evaluation of a new neutron energy spectrum unfolding code based on an Adaptive Neuro-Fuzzy Inference System (ANFIS). [PDF]

J Radiat Res, 2018
Hosseini SA, Esmaili Paeen Afrakoti I.
europepmc   +1 more source

CLASSIFYING PLANTS’ HEALTH USING AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS)

Proceedings in Cybernetics
The study classifi es eight types of plants’ diseases using an adaptive neuro-fuzzy inference system (ANFIS). Haralick texture features obtained from plants’ images are applied as input data for a system. A hybrid algorithm consisting of a backward propagation of error and a gradient descent performed the ANFIS training.
openaire   +1 more source

COVID-19 Time-Varying Reproduction Number and its Prediction by Adaptive Neuro-Fuzzy Inference System (ANFIS)

, 2021
Riadi A, Nugroho YS, Nurwidya F.
europepmc   +1 more source