An improved multilayer perceptron based on wavelet approach for physical time series prediction
The real world datasets engage many challenges such as noisy data, periodic variations on several scales and long-term trends that do not vary periodically. Meanwhile, Neural Networks (NN) has been successfully applied in many problems in the domain of time series prediction. The standard NN a...
Saved in:
Main Author: | Ali, Ashikin |
---|---|
Format: | Thesis |
Language: | English English English |
Published: |
2014
|
Subjects: | |
Online Access: | http://eprints.uthm.edu.my/1454/1/24p%20ASHIKIN%20ALI.pdf http://eprints.uthm.edu.my/1454/2/ASHIKIN%20ALI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1454/3/ASHIKIN%20ALI%20WATERMARK.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction
by: Shah, Habib
Published: (2014) -
Predicting Clinical Waste Cost In Malaysian Hospitals Using Multilayer Perceptron Neural Network
by: Tabasi, Rahele
Published: (2012) -
Self-organizing map and multilayer perceptron for malay speech recognition
by: Goh, Kia Eng
Published: (2006) -
Enhanced artificial bee colony-least squares support vector machines algorithm for time series prediction
by: Zuriani, Mustaffa
Published: (2014) -
Teknik Tapisan Dalam Pemodelan Perceptron Multi Aras
by: Roshidi, Din
Published: (1999)