An Improvement on Extended Kalman Filter for Neural Network Training
Information overload has resulted in difficulties of managing and processing information. Reduction of data using well-defined techniques such as rough set may provide a means to overcome this problem. Extracting useful imformation and knowledge from data is a major concern in information science....
Saved in:
Main Author: | Tsan, Ken Yim |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2005
|
Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/5851/1/FSKTM_2005_5%20IR.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Switching network performance analysis using modelling and simulation method / Sa'diah A. Rahim
by: A. Rahim, Sa'diah
Published: (1995) -
Reactive power dispatch incooperating voltage stability improvement using artificial neural network / Rasida Norjali
by: Norjali, Rasida
Published: (1995) -
Weight Median Filter Using Neural Network for Reducing Impulse Noise
by: Hasoon, Feras N.
Published: (2004) -
Performance analysis of convolutional neural network extended with predefined kernels in image classification /
by: Fatehi, Arash
Published: (2022) -
Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition
by: Ali Adlan, Hanan Hassan
Published: (2004)