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...
Saved in:
Main Author: | Adnan, Mohamad Nasarudin |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | http://eprints.usm.my/58898/1/MOHAMAD%20NASARUDIN%20BIN%20ADNAN-FINAL%20TESIS%20P-SGM000822%28R%29%20-24%20pages.pdf http://eprints.usm.my/58898/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A combination of methodology building for multi-layer feed-forward neural network (MLFF) and linear modeling: an application in biometry modeling
by: Jusoff, Muhammad Khairan Shazuan
Published: (2024) -
Preprocessing And Pretraining Of Multilayer Feed Forward Neural Network
by: Asadi, Roya
Published: (2009) -
Hardware Implementation of Feed forward Multilayer Neural Network Using the RFNNA Design Methodology
by: Sun, Ivan Teh Fu, et al.
Published: (2004) -
Hardware Implementation of Feed forward Multilayer Neural Network Using the RFNNA Design Methodology
by: Sun, Ivan Teh Fu, et al.
Published: (2004) -
Combination of Methodology Building for Multi-Layer FFED Forward Neural Network (MLFF) and Linear Modelling (LM): A Case Study by Biometry Modelling
by: Shazuan Jusoff, Muhammad Khairan, et al.
Published: (2022)