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...

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Bibliographic Details
Main Author: Hilmi Asyraf, Razali
Format: Undergraduates Project Papers
Language:English
English
English
English
Published: 2009
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/872/
http://umpir.ump.edu.my/id/eprint/872/
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.pdf
http://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