Optimization of the hidden layer of a multilayer perceptron with backpropagation (bp) network using hybrid k-means-greedy algorithm (kga) for time series prediction

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...

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Bibliographic Details
Main Author: Tan, James Yiaw Beng
Format: Thesis
Language:English
Published: 2012
Subjects:
TA Engineering (General)
Civil engineering (General)
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
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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

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