A modified weight optimisation for higher-order neural network in time series prediction

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A modified weight optimisation for higher-order neural network in time series prediction

Most of time series signals are difficult to predict as consist of non-linear, high complexity (noise) and chaotic processes. The challenges in time series prediction are to provide a technique to better understand a dataset. In line with this, the Cuckoo Search (CS) learning algorithm, a kind...

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Bibliographic Details
Main Author:	Husaini, Noor Aida
Format:	Thesis
Language:	English English English
Published:	2020
Subjects:	QA71-90 Instruments and machines
Online Access:	http://eprints.uthm.edu.my/921/ http://eprints.uthm.edu.my/921/1/24p%20NOOR%20AIDA%20HUSAINI.pdf http://eprints.uthm.edu.my/921/2/NOOR%20AIDA%20HUSAINI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/921/3/NOOR%20AIDA%20HUSAINI%20WATERMARK.pdf

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