Results 111 to 120 of about 8,169 (234)

Dataset of experimental and adaptive neuro-fuzzy inference system (ANFIS) model prediction of R600a/MWCNT nanolubricant in a vapour compression system. [PDF]

Data Brief, 2020
Babarinde TO, Akinlabi SA, Madyira DM, Ekundayo FM, Adedeji PA.   +4 more
europepmc   +1 more source

Machine condition prognosis using multi-step ahead prediction and neuro-fuzzy systems

This paper presents an approach to predict the operating conditions of machine based on adaptive neuro-fuzzy inference system (ANFIS) in association with direct prediction strategy for multi-step ahead prediction of time series techniques. In this study,
Tran, Van Tung
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Prediksi Produksi Karet Menggunakan Adaptive Neuro Fuzzy Inference System (ANFIS)

, 2016
Rubber is one of the commodities that contributed greatly to the non-oil exports . In the rubber industry , production of rubber is paramount . Therefore, we need a method that is able to predict the results of rubber production to be used as a reference
Nurmawan
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PREDIKSI CURAH HUJAN MENGGUNAKAN ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (ANFIS) [PDF]

, 2015
Cuaca adalah keadaan udara pada saat tertentu dan di wilayah tertentu yang relatif sempit pada jangka waktu yang singkat. Cuaca sangat penting dan sangat berpengaruh terhadap aktivitas semua makhluk hidup.
SEKAR KINASIH
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Analisis dan Implementasi Metode ANFIS(Adaptive Neuro Fuzzy Inference system) pada Pendeteksian Email Spam [PDF]

, 2011
ABSTRAKSI: Salah satu alat komunikasi yang mudah, murah dan cepat adalah email. Masalah utama yang dihadapi adalah terus bertambahnya jumlah email komersial yang tidak diharapkan atau biasa disebut spam.
Harry Che Satria Daulay
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

Forecasting Mortality Rate Using a Neural Network with Fuzzy Inference System [PDF]

Various methods have been developed to improve mortality forecasts. The authors proposed a neuro-fuzzy model to forecast the mortality. The forecasting of mortality is curried out by an ANFIS model which uses a first order Sugeno-type FIS.
Camelia Ioana Ucenic, Dimitrios Nezis, George Atsalakis, Christos Skiadas, George Matalliotakis   +4 more
core  

Prediction of littoral drift with Adaptive Neuro-Fuzzy Inference System

, 2010
Prediction of littoral drift with Adaptive Neuro-Fuzzy Inference System The amount of sand moving parallel to a coastline forms a prerequisite for many harbor design projects.
Hosein Sabet, Mehdi Naseri, Masumeh Sabet   +2 more
core   +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