Threat analysis using artificial neural network
The purpose of this study is to explore the use of an Artificial Neural Network threat analysis tools for analyzing threats in healthcare system. The research method used a feed forward neural network which consisted of 50 input variables and one output. The datasets used in neural network are provi...
Saved in:
Main Author: | Yee, Chan Pheng |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2009
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/10076/1/YeeChanPengMFSKSM2009.pdf http://eprints.utm.my/id/eprint/10076/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Effectiveness of convolutional neural network models in classifying agricultural threats
by: Rahman, Sayem, et al.
Published: (2021) -
Effectiveness of convolutional neural network models in classifying agricultural threats
by: Rahman, Sayem, et al.
Published: (2021) -
Effectiveness of convolutional neural network models in classifying agricultural threats
by: Rahman, Sayem, et al.
Published: (2021) -
Encryption function on artificial neural network
by: Al Azawee, H., et al.
Published: (2016) -
Forecasting zakat collection using artificial neural network
by: Sy Ahmad Ubaidillah, S. H., et al.
Published: (2013)