A methodology building for multilayer feed-forward neural network (MLFFNN): an application in biometry modelling

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A methodology building for multilayer feed-forward neural network (MLFFNN): an application in biometry modelling

This research aims to develop a hybrid method for Multi-Layer Feed-Forward Neural Network (MLFFNN) with two different approaches; (i) Multiple Logistic Regression (MLogisticR) for the first method, (ii) Multiple Linear Regression (MLinearR) for the second method. The developed hybrid method is ba...

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Bibliographic Details
Main Author:	Adnan, Mohamad Nasarudin
Format:	Thesis
Language:	English
Published:	2023
Subjects:	QH Natural history
Online Access:	http://eprints.usm.my/58898/ http://eprints.usm.my/58898/1/MOHAMAD%20NASARUDIN%20BIN%20ADNAN-FINAL%20TESIS%20P-SGM000822%28R%29%20-24%20pages.pdf

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