Uncertainty analysis of two-shaft gas turbine parameter of artificial neural network (ANN) approximated function using sequential perturbation method
This thesis deals with the finding of uncertainty for two-shaft gas turbine involving its parameter where Artificial Neural Network (ANN) approximated function in association with sequential perturbation method will be applied. Previously, in order for operators to increase the efficiency of two-sha...
Saved in:
Internet
http://umpir.ump.edu.my/id/eprint/872/1/Uncertainty%20analysis%20of%20two-shaft%20gas%20turbine%20parameter%20of%20artificial%20neural%20network%20%28ANN%29%20approximated%20function%20using%20sequential%20perturbation%20method%20%28Table%20of%20content%29.pdfhttp://umpir.ump.edu.my/id/eprint/872/2/Uncertainty%20analysis%20of%20two-shaft%20gas%20turbine%20parameter%20of%20artificial%20neural%20network%20%28ANN%29%20approximated%20function%20using%20sequential%20perturbation%20method%20%28Abstract%29.pdf
http://umpir.ump.edu.my/id/eprint/872/3/Uncertainty%20analysis%20of%20two-shaft%20gas%20turbine%20parameter%20of%20artificial%20neural%20network%20%28ANN%29%20approximated%20function%20using%20sequential%20perturbation%20method%20%28Chapter%201%29.pdf
http://umpir.ump.edu.my/id/eprint/872/5/Uncertainty%20analysis%20of%20two-shaft%20gas%20turbine%20parameter%20of%20artificial%20neural%20network%20%28ANN%29%20approximated%20function%20using%20sequential%20perturbation%20method%20%28References%29.pdf
http://umpir.ump.edu.my/id/eprint/872/