TY  - GEN
AU  - Tamer Mohamed Elsaied Elkhodragy
AU  - Ghada Mohamed Amer , 
AU  - Ossama Elsaid Gouda , 
TI  - Optimum design of earthing system of high voltage substations by using artificial neural network / 
PY  - 2007///
CY  - Cairo : 
PB  - Tamer Mohamedelsaiedelkhodragy , 
KW  - high voltage substations
KW  - Optimum design
N1  - Thesis (PH.D.) - Cairo University - Faculty Of Engineering - Department Of Electrical Power and Machines; Issued also as CD
N2  - The present work is focused towards developing artificial neural network to evaluate design parameters of ground system for the predetermined grounding resistance value and soil resistivity without need of complex calculations These ANN are used to select the optimum dimensions and geometry of grounding system required for obtaining satisfactory ground resistance , and step and touch potentials Also ANN is used to select the optimum compression ratio for uniform soil and two layer soils
UR  - http://172.23.153.220/th.pdf
ER  -