Results 91 to 100 of about 18,833,020 (162)

Forecasting seasonality in prices of potatoes and onions: challenge between geostatistical models, neuro fuzzy approach and Winter method [PDF]

This paper, we studied the ability of geostatistical models (ordinary kriging (OK) and Inverse distance weighting (IDW)), adaptive neuro-fuzzy inference system (ANFIS) and Winter method for prediction of seasonality in prices of potatoes and onions in ...
Najafi, Bahaeddin, Amiri, Arshia, Bakhshoodeh, Mohamad   +2 more
core   +2 more sources

Matrix formulation of fuzzy rule-based systems [PDF]

, 1996
In this paper, a matrix formulation of fuzzy rule based systems is introduced. A gradient descent training algorithm for the determination of the unknown parameters can also be expressed in a matrix form for various adaptive fuzzy networks.
Lotfi, A, Andersen, HC, Tsoi, AC
core  

Estimation of Fuzzy Regression Parameters With ANFIS and Bayesian Methods

Engineering Reports
In fuzzy regression, estimation of centers and spreads of triangular fuzzy numbers are both performed using the same methods, such as linear programming (LP), quadratic programming (QP), fuzzy weighted linear programming (FWLP), and adaptive neuro‐fuzzy ...
M. Pakdel, T. Razzaghnia, K. Fathi, A. Mostafaee   +3 more
doaj   +1 more source

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

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

Electrochemical-kinetics, MD-simulation and multi-input single-output (MISO) modeling using adaptive neuro-fuzzy inference system (ANFIS) prediction for dexamethasone drug as eco-friendly corrosion inhibitor for mild steel in 2 M HCl electrolyte. [PDF]

J Taiwan Inst Chem Eng, 2020
Anadebe VC, Onukwuli OD, Abeng FE, Okafor NA, Ezeugo JO, Okoye CC.   +5 more
europepmc   +1 more source

PERAMALAN TEMPERATUR UDARA MENGGUNAKAN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS) [PDF]

, 2009
ABSTRAKSI: Adaptive Neuro Fuzzy Inference System (ANFIS) merupakan kombinasi dari Sistem Inferensi Fuzzy dengan Jaringan Syaraf Tiruan dimana nilai keanggotaan dari Sistem Inferensi Fuzzy akan diperbaiki melalui pembelajaran dengan Jaringan Syaraf Tiruan
DHARUMAS PINURBO
core  

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

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

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