Application of genetic algorithm in artificial neural network for fault classification in parallel transmission lines

IET-UK International Conference on Information and Communication Technology in Electrical Sciences (ICTES 2007) ◽

10.1049/ic:20070644 ◽

2007 ◽

Cited By ~ 1

Author(s):

R. Rajeswari ◽

N. Kamaraj

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Transmission Lines ◽

Fault Classification ◽

Parallel Transmission ◽

Artificial Neural

Download Full-text

High frequency fault location method for transmission lines based on artificial neural network and genetic algorithm using current signals only

11th IET International Conference on Developments in Power Systems Protection (DPSP 2012) ◽

10.1049/cp.2012.0041 ◽

2012 ◽

Cited By ~ 2

Author(s):

R.K. Aggarwal ◽

S.L. Blond ◽

P. Beaumont ◽

G. Baber ◽

F. Kawano ◽

...

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Transmission Lines ◽

High Frequency ◽

Fault Location ◽

Location Method ◽

Artificial Neural

Download Full-text

Artificial Neural Network Based Fault Classification and Location for Transmission Lines

2019 IEEE Conference on Power Electronics and Renewable Energy (CPERE) ◽

10.1109/cpere45374.2019.8980173 ◽

2019 ◽

Author(s):

Ahmed Elnozahy ◽

Khairy Sayed ◽

Mohamed Bahyeldin

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Transmission Lines ◽

Fault Classification ◽

Artificial Neural

Download Full-text

Artificial neural network approach to fault classification for double circuit transmission lines

2004 IEEE/PES Transmision and Distribution Conference and Exposition: Latin America (IEEE Cat. No. 04EX956) ◽

10.1109/tdc.2004.1432494 ◽

2005 ◽

Cited By ~ 9

Author(s):

H. Khorashadi-Zadeh

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Transmission Lines ◽

Fault Classification ◽

Network Approach ◽

Neural Network Approach ◽

Artificial Neural ◽

Artificial Neural Network Approach

Download Full-text

Comparison of Several Artificial Neural Network Approaches for Fault Classification in Power Transmission Lines

10.1145/3492547.3492608 ◽

2021 ◽

Author(s):

Sara R. Alsubhi ◽

Kaouther Laabidi ◽

Lobna Hsairi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Transmission Lines ◽

Power Transmission ◽

Fault Classification ◽

Power Transmission Lines ◽

Artificial Neural ◽

Network Approaches

Download Full-text

Fault Classification of a Centrifugal Pump in Normal and Noisy Environment with Artificial Neural Network and Support Vector Machine Enhanced by a Genetic Algorithm

Theory and Practice of Natural Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-26841-5_5 ◽

2015 ◽

pp. 58-70 ◽

Cited By ~ 4

Author(s):

Abtin Nourmohammadzadeh ◽

Sven Hartmann

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Support Vector Machine ◽

Centrifugal Pump ◽

Fault Classification ◽

Support Vector ◽

Noisy Environment ◽

Artificial Neural

Download Full-text

Transmission Line Fault Classification and Location Using Multi-Layer Perceptron Artificial Neural Network

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon43393.2020.9254653 ◽

2020 ◽

Author(s):

A. K. Onaolapo ◽

R. Pillay Carpanen ◽

D. G. Dorrell ◽

E. E. Ojo

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Transmission Line ◽

Fault Classification ◽

Multi Layer Perceptron ◽

Artificial Neural

Download Full-text

An experimental study of objective pain measurement using pupillary response based on genetic algorithm and artificial neural network

Applied Intelligence ◽

10.1007/s10489-021-02458-4 ◽

2021 ◽

Author(s):

Li Wang ◽

Yikang Guo ◽

Biren Dalip ◽

Yan Xiao ◽

Richard D. Urman ◽

...

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Experimental Study ◽

Artificial Neural Network ◽

Pain Measurement ◽

Pupillary Response ◽

Artificial Neural

Download Full-text

Tri-objective constrained optimization of pulsating DC sourced magnetic abrasive finishing process parameters using artificial neural network and genetic algorithm

Materials and Manufacturing Processes ◽

10.1080/10426914.2020.1866196 ◽

2021 ◽

pp. 1-15

Author(s):

Shadab Ahmad ◽

Ranganath M. Singari ◽

R.S. Mishra

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Constrained Optimization ◽

Process Parameters ◽

Magnetic Abrasive Finishing ◽

Finishing Process ◽

Abrasive Finishing ◽

Artificial Neural

Download Full-text

Modelling and optimisation of treatment parameters in high-dose-rate mono brachytherapy for localised prostate carcinoma using a multilayer artificial neural network and a genetic algorithm: Pilot study

Computers in Biology and Medicine ◽

10.1016/j.compbiomed.2020.104045 ◽

2020 ◽

Vol 126 ◽

pp. 104045

Author(s):

Katarina M. Rajković ◽

Kata Dabić-Stanković ◽

Jovan Stanković ◽

Miodrag Aćimović ◽

Nina Đukanović ◽

...

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Pilot Study ◽

Dose Rate ◽

Prostate Carcinoma ◽

High Dose Rate ◽

High Dose ◽

Artificial Neural

Download Full-text

Optimal Design and Feature Selection by Genetic Algorithm for Emotional Artificial Neural Network (EANN) in Rainfall-Runoff Modeling

Water Resources Management ◽

10.1007/s11269-021-02818-2 ◽

2021 ◽

Author(s):

Amir Molajou ◽

Vahid Nourani ◽

Abbas Afshar ◽

Mina Khosravi ◽

Adam Brysiewicz

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Feature Selection ◽

Optimal Design ◽

Rainfall Runoff ◽

Runoff Modeling ◽

Artificial Neural

Download Full-text