Hereditary ratio of adolescent to parent based on eyes analysis using back-propagation neural network (BPNN) / Mazneeda Mohammad Arif

The demonstration of the limitations of single-layer neural networks was a significant factor in the decline of interest in neural networks in the 1970s. The discovery (by several researchers independently) and widespread dissemination of an effective general method of training a multilayer neural n...

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Main Author:	Mohammad Arif, Mazneeda
Format:	Thesis
Language:	English
Published:	2010
Subjects:	Neural networks (Computer science) Human face recognition (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/65808/1/65808.pdf
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id	my-uitm-ir.65808
record_format	uketd_dc
spelling	my-uitm-ir.658082022-09-26T07:20:36Z Hereditary ratio of adolescent to parent based on eyes analysis using back-propagation neural network (BPNN) / Mazneeda Mohammad Arif 2010 Mohammad Arif, Mazneeda Neural networks (Computer science) Human face recognition (Computer science) The demonstration of the limitations of single-layer neural networks was a significant factor in the decline of interest in neural networks in the 1970s. The discovery (by several researchers independently) and widespread dissemination of an effective general method of training a multilayer neural network (Rumelhart, Hinton, & Williams, 1986a, 1986b; McClelland & Rumelhart, 1988) played a major role in the re-emergence of neural networks as a tool for solving a wide variety of problems. The training of a network by back-propagation involves three stages: the feedforward of the input training pattern, the calculation and back-propagation of the associated error, and the adjustment of the weights. After training, application of the net involves only the computations of the feedforward phase. Even if training is slow, a trained net can produce its output very rapidly. Numerous variations of backpropagation have been developed to improve the speed of the training process. 2010 Thesis https://ir.uitm.edu.my/id/eprint/65808/ https://ir.uitm.edu.my/id/eprint/65808/1/65808.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Shamsuddin, Razif
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Shamsuddin, Razif
topic	Neural networks (Computer science) Human face recognition (Computer science)
spellingShingle	Neural networks (Computer science) Human face recognition (Computer science) Mohammad Arif, Mazneeda Hereditary ratio of adolescent to parent based on eyes analysis using back-propagation neural network (BPNN) / Mazneeda Mohammad Arif
description	The demonstration of the limitations of single-layer neural networks was a significant factor in the decline of interest in neural networks in the 1970s. The discovery (by several researchers independently) and widespread dissemination of an effective general method of training a multilayer neural network (Rumelhart, Hinton, & Williams, 1986a, 1986b; McClelland & Rumelhart, 1988) played a major role in the re-emergence of neural networks as a tool for solving a wide variety of problems. The training of a network by back-propagation involves three stages: the feedforward of the input training pattern, the calculation and back-propagation of the associated error, and the adjustment of the weights. After training, application of the net involves only the computations of the feedforward phase. Even if training is slow, a trained net can produce its output very rapidly. Numerous variations of backpropagation have been developed to improve the speed of the training process.
format	Thesis
qualification_level	Bachelor degree
author	Mohammad Arif, Mazneeda
author_facet	Mohammad Arif, Mazneeda
author_sort	Mohammad Arif, Mazneeda
title	Hereditary ratio of adolescent to parent based on eyes analysis using back-propagation neural network (BPNN) / Mazneeda Mohammad Arif
title_short	Hereditary ratio of adolescent to parent based on eyes analysis using back-propagation neural network (BPNN) / Mazneeda Mohammad Arif
title_full	Hereditary ratio of adolescent to parent based on eyes analysis using back-propagation neural network (BPNN) / Mazneeda Mohammad Arif
title_fullStr	Hereditary ratio of adolescent to parent based on eyes analysis using back-propagation neural network (BPNN) / Mazneeda Mohammad Arif
title_full_unstemmed	Hereditary ratio of adolescent to parent based on eyes analysis using back-propagation neural network (BPNN) / Mazneeda Mohammad Arif
title_sort	hereditary ratio of adolescent to parent based on eyes analysis using back-propagation neural network (bpnn) / mazneeda mohammad arif
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2010
url	https://ir.uitm.edu.my/id/eprint/65808/1/65808.pdf
_version_	1783735578507870208

Hereditary ratio of adolescent to parent based on eyes analysis using back-propagation neural network (BPNN) / Mazneeda Mohammad Arif

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