A neuro-fuzzy computing technique for modeling laser-diode nonlinearity in a radio-over-fibre link

2005 ◽  
Vol 15 (3) ◽  
pp. 329-335 ◽  
Author(s):  
M. Emin Yuksel ◽  
Ibrahim Develi
Keyword(s):  
Laser Diode ◽  
Computing Technique ◽  
Neuro Fuzzy ◽  
Radio Over Fibre ◽  
Fuzzy Computing

scholarly journals ADAPTIVE NEURO-FUZZY COMPUTING TECHNIQUE FOR PRECIPITATION ESTIMATION

2016 ◽  
Vol 14 (2) ◽  
pp. 209 ◽  
Author(s):  
Dalibor Petković ◽  
Milan Gocić ◽  
Shahaboddin Shamshirband
Keyword(s):  
Neural Network ◽  
Fuzzy Inference ◽  
Monthly Precipitation ◽  
Mathematical Functions ◽  
Inference System ◽  
Computing Technique ◽  
Neuro Fuzzy ◽  
Precipitation Estimation ◽  
Artificial Neural Network Ann ◽  
Fuzzy Computing

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. Even though a number of mathematical functions have been proposed for modeling the precipitation estimation, these models still suffer from the disadvantages such as their being very demanding in terms of calculation time. Artificial neural network (ANN) can be used as an alternative to the analytical approach since it offers advantages such as no required knowledge of internal system parameters, compact solution for multi-variable problems and fast calculation. Due to its being a crucial problem, this paper presents a process constructed so as to simulate precipitation with an adaptive neuro-fuzzy inference (ANFIS) method. ANFIS is a specific type of the ANN family and shows very good learning and prediction capabilities, which makes it an efficient tool for dealing with encountered uncertainties in any system such as precipitation. Neural network in ANFIS adjusts parameters of membership function in the fuzzy logic of the fuzzy inference system (FIS). This intelligent algorithm is implemented using Matlab/Simulink and the performances are investigated.  The simulation results presented in this paper show the effectiveness of the developed method.

scholarly journals A Neuro-fuzzy Computing Technique for Modeling the Acoustic Form Function of Immersed Tubes

2013 ◽  
Vol 70 (28) ◽  
pp. 42-50
Author(s):  
Y. Nahraoui ◽  
EL H. Aassif ◽  
A. Elhanaoui ◽  
G. Maze
Keyword(s):  
Computing Technique ◽  
Form Function ◽  
Neuro Fuzzy ◽  
Fuzzy Computing

A neuro-fuzzy computing technique for modeling hydrological time series

2004 ◽  
Vol 291 (1-2) ◽  
pp. 52-66 ◽  
Author(s):  
P.C Nayak ◽  
K.P Sudheer ◽  
D.M Rangan ◽  
K.S Ramasastri
Keyword(s):  
Time Series ◽  
Computing Technique ◽  
Neuro Fuzzy ◽  
Fuzzy Computing

Daily Evapotranspiration Modeling from Limited Weather Data by Using Neuro-Fuzzy Computing Technique

2012 ◽  
Vol 138 (1) ◽  
pp. 21-34 ◽  
Author(s):  
Fatemeh Karimaldini ◽  
Lee Teang Shui ◽  
Thamer Ahmed Mohamed ◽  
Mohammadreza Abdollahi ◽  
Najmeh Khalili
Keyword(s):  
Weather Data ◽  
Computing Technique ◽  
Neuro Fuzzy ◽  
Daily Evapotranspiration ◽  
Evapotranspiration Modeling ◽  
Fuzzy Computing

Adaptive neuro-fuzzy computing technique for suspended sediment estimation

2009 ◽  
Vol 40 (6) ◽  
pp. 438-444 ◽  
Author(s):  
Ozgur Kisi ◽  
Tefaruk Haktanir ◽  
Mehmet Ardiclioglu ◽  
Ozgur Ozturk ◽  
Ekrem Yalcin ◽  
...  
Keyword(s):  
Suspended Sediment ◽  
Computing Technique ◽  
Neuro Fuzzy ◽  
Fuzzy Computing

Appraisal of adaptive neuro-fuzzy computing technique for estimating anti-obesity properties of a medicinal plant

2015 ◽  
Vol 118 (1) ◽  
pp. 69-76 ◽  
Author(s):  
Mahnaz Kazemipoor ◽  
Majid Hajifaraji ◽  
Che wan Jasimah Bt wan Mohamed Radzi ◽  
Shahaboddin Shamshirband ◽  
Dalibor Petković ◽  
...  
Keyword(s):  
Medicinal Plant ◽  
Computing Technique ◽  
Neuro Fuzzy ◽  
Fuzzy Computing
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