Enhancement of neural network convergence with hidden layer and memory part control
An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system.
Saved in:
Main Author: | |
---|---|
Format: | Conference or Workshop Item |
Published: |
2003
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/22502/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Teknologi Malaysia |
id |
my.utm.22502 |
---|---|
record_format |
eprints |
spelling |
my.utm.225022017-09-25T06:38:19Z http://eprints.utm.my/id/eprint/22502/ Enhancement of neural network convergence with hidden layer and memory part control Saad, Puteh QA75 Electronic computers. Computer science An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. 2003 Conference or Workshop Item PeerReviewed Saad, Puteh (2003) Enhancement of neural network convergence with hidden layer and memory part control. In: Proceeding of the International Conference on Robotics, 2003, Pulau Pinang. |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
topic |
QA75 Electronic computers. Computer science |
spellingShingle |
QA75 Electronic computers. Computer science Saad, Puteh Enhancement of neural network convergence with hidden layer and memory part control |
description |
An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. |
format |
Conference or Workshop Item |
author |
Saad, Puteh |
author_facet |
Saad, Puteh |
author_sort |
Saad, Puteh |
title |
Enhancement of neural network convergence with hidden layer and memory part control |
title_short |
Enhancement of neural network convergence with hidden layer and memory part control |
title_full |
Enhancement of neural network convergence with hidden layer and memory part control |
title_fullStr |
Enhancement of neural network convergence with hidden layer and memory part control |
title_full_unstemmed |
Enhancement of neural network convergence with hidden layer and memory part control |
title_sort |
enhancement of neural network convergence with hidden layer and memory part control |
publishDate |
2003 |
url |
http://eprints.utm.my/id/eprint/22502/ |
_version_ |
1643647375506407424 |