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Uncertainty analysis of artificial neural network (ANN) aproximated function for experimental data using sequential perturbation method

This thesis describes a comparative study of uncertainty estimation for unknown function using sequential perturbation method with Artificial Neural Network (ANN) approximated function. The objective of this project is to propose a new technique in calculating uncertainty estimation for an unknown f...

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Bibliographic Details
Main Author: Mohd Jukimi, Joni
Format: Undergraduates Project Papers
Published: 2009
Subjects:
QA Mathematics
Online Access:http://iportal.ump.edu.my/lib/item?id=chamo:45866&theme=UMP2
http://iportal.ump.edu.my/lib/item?id=chamo:45866&theme=UMP2
http://umpir.ump.edu.my/907/1/Mohd_Jukimi_Joni.pdf
http://umpir.ump.edu.my/907/4/Uncertainty%20analysis%20of%20artificial%20neural%20network%20%28ann%29%20aproximated%20function%20for%20experimental%20data%20using%20sequential%20pertubation%20method%20-%20chapter%201.pdf
http://umpir.ump.edu.my/907/5/Uncertainty%20analysis%20of%20artificial%20neural%20network%20%28ann%29%20aproximated%20function%20for%20experimental%20data%20using%20sequential%20pertubation%20method%20-%20references.pdf
http://umpir.ump.edu.my/907/6/Uncertainty%20analysis%20of%20artificial%20neural%20network%20%28ann%29%20aproximated%20function%20for%20experimental%20data%20using%20sequential%20pertubation%20method%20-%20table%20of%20content.pdf
http://umpir.ump.edu.my/907/7/Uncertainty%20analysis%20of%20artificial%20neural%20network%20%28ann%29%20aproximated%20function%20for%20experimental%20data%20using%20sequential%20pertubation%20method%20-%20abstract.pdf
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