Prediction of extinction ratio's temperature compensation table using neural network
The conventional way of modeling extinction ratio’s (ER) temperature compensation table of a transceiver module results to high manufacturing testing time, thus gives an issue in manufacturing line which is low UPH (Units per hour). The conventional way is through manual temperature cycling and thro...
Saved in:
Main Author: | Reyes, Charissa Delos |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/98362/1/CharissaDelosReyesMSC2018.pdf.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Synergistic artificial neural network scheme for monitoring and diagnosis of multivariate process variation in mean shifts
by: Marian, Mohd Fairuz
Published: (2014) -
Study of artificial neural network scheme application in manufacturing industry for monitoring-diagnosis bivariate process variation
by: Majid, Mariam
Published: (2014) -
A neural network approach for machine breakdown repair time
by: Chanthuru Thevendram,
Published: (2013) -
Electrodeposition of nickel/copper multi-nanolayer by dual bath technique at ambient temperature
by: Abdullah, Sharifah Sakinah
Published: (2017) -
Development of a neural network module for a coupled-tank liquid level control system
by: Lian , Kit Yee
Published: (2004)