Bayesian Network Classifiers for Damage Detection in Engineering Material
The automation of damage detection in engineering material using intelligent techniques (e.g. Neural networks) has not been matured enough to be practi- cable and needs more techniques to be implemented, improved, and developed. Nevertheless, the Neural networks have been implemented extensively...
Saved in:
Main Author: | Mohamed Addin, Addin Osman |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2007
|
Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/5473/1/ITMA_2007_6a.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Bayesian network modeling of gastrointestinal bleeding
by: Aisha, Nazziwa
Published: (2013) -
Hierarchical Bayesian Spatial Models for Disease Mortality Rates
by: Mohamed Elobaid, Rafida
Published: (2009) -
Bayesian reliability analysis and prediction techniques for reliability analysis and prediction using a combination of Bayesian methods and information of Bayesian methods and information theory together with appropriate computer programs are developed /
by: Mohd. Rasid Yaakob
Published: (1987) -
Bayesian approach to errors-in-variables in count data regression models /
by: Nur Aainaa Rozliman
Published: (2018) -
Slice sampler and metropolis hastings approaches for bayesian analysis of extreme data
by: Rostami, Mohammad
Published: (2016)