Optimization of the hidden layer of a multilayer perceptron with backpropagation (bp) network using hybrid k-means-greedy algorithm (kga) for time series prediction
(Research into the field of artificial neural networks (ANN) is fast gaining interest in recent years, due to the fact that it is fast becoming a popular tool of choice in prediction of time series trends. This recent surge in its popularity can be attributed to the fact that ANN, especially a multi...
Saved in:
Main Author: | Tan, James Yiaw Beng |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/14395/3/Optimization%20of%20the%20Hidden%20Layer%20of%20A%20Multilayer%20Perception%20with%20Backpropagation%20%28BP%29%20Network%20Using%20Hybrid%20K-Means-Greedy%20Algorithm%20%28KGA%29%20for%20Time%20Series%20Prediction%20%28Fulltext%29.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A hybrid BP and HSA for enhancing a multilayer perceptron learning
by: Salad Nur, Abdirashid
Published: (2014) -
A hybrid BP and HSA for enhancing a multilayer perceptron learning
by: Salad Nur, Abdirashid
Published: (2014) -
Effectiveness of discretized data set on multilayer perceptron network with particle swarm optimization in classification problems
by: Karasi Manickam, Mangair
Published: (2012) -
A Voting Technique Of Multilayer Perceptron Ensemble For Classification Application
by: Talib, Hafizah
Published: (2014) -
Function Approximation With
Multilayered Perceptrons Using L1
Criterion
by: Ong , Hong Choon
Published: (2003)