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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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 |
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Universiti Teknologi MARA |
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language |
English |
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Shamsuddin, Razif |
topic |
Neural networks (Computer science) Human face recognition (Computer science) |
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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 |
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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 |