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Volumn , Issue , 2007, Pages 342-346
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Artificial neural network approach to electric field approximation around overhead power transmission lines
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Author keywords
Artificial neural network (ANN); Boundary conditions; Electric field strength; Estimation; Finite difference method (FDM); Finite element method (FEM)
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Indexed keywords
BACKPROPAGATION;
BANDPASS FILTERS;
BOUNDARY VALUE PROBLEMS;
ELECTRIC FAULT LOCATION;
ELECTRIC FIELD EFFECTS;
ELECTRIC FIELD MEASUREMENT;
ELECTRIC FIELDS;
ELECTRIC LINES;
ELECTRIC POWER TRANSMISSION NETWORKS;
FINITE DIFFERENCE METHOD;
FINITE ELEMENT METHOD;
FREQUENCY DIVISION MULTIPLEXING;
IMAGE CLASSIFICATION;
NEURAL NETWORKS;
NUMERICAL ANALYSIS;
NUMERICAL METHODS;
ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING;
POWER TRANSMISSION;
TELECOMMUNICATION LINES;
TRANSMISSION LINE THEORY;
VEGETATION;
ANALYTICAL METHODS;
ARTIFICIAL NEURAL NETWORK (ANN);
ARTIFICIAL NEURAL NETWORKS;
BACK PROPAGATION LEARNINGS;
ELECTRIC FIELD APPROXIMATIONS;
ELECTRIC FIELD STRENGTH;
ELECTRIC FIELD STRENGTHS;
EXECUTION TIMES;
FIELD DISTRIBUTIONS;
FINITE DIFFERENCE METHOD (FDM);
FINITE DIFFERENCES;
HIGH ACCURACIES;
POWER LINES;
POWER TRANSMISSION LINES;
BOUNDARY ELEMENT METHOD;
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EID: 56149088985
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper |
Times cited : (3)
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References (9)
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