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Software Toolkit For Designing An Artificial Neural Network.

Basically, there are two kinds of artificial neural network (ANN), which can be classified into supervised and unsupervised. Commonly, supervised neural networks are trained or weights adjusted, so that a particular input leads to a specific target output. Generally, the supervised training methods...

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Main Authors: Ahmad, M. A., Saleh, J Mohamad
Format: Conference or Workshop Item
Language:English
Published: 2004
Subjects:
TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Online Access:http://eprints.usm.my/9799/1/Software_Toolkit_for_Designing_and_Artificial_Neural_Network_%28PPKKimia%29_2004.pdf
http://eprints.usm.my/9799/
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spelling my.usm.eprints.9799 http://eprints.usm.my/9799/ Software Toolkit For Designing An Artificial Neural Network. Ahmad, M. A. Saleh, J Mohamad TK1-9971 Electrical engineering. Electronics. Nuclear engineering Basically, there are two kinds of artificial neural network (ANN), which can be classified into supervised and unsupervised. Commonly, supervised neural networks are trained or weights adjusted, so that a particular input leads to a specific target output. Generally, the supervised training methods are commonly used in solving most problems. An ANN can be designed, trained, validated and tested by means of the Neural Network Toolbox in Matlab. 2004 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/9799/1/Software_Toolkit_for_Designing_and_Artificial_Neural_Network_%28PPKKimia%29_2004.pdf Ahmad, M. A. and Saleh, J Mohamad (2004) Software Toolkit For Designing An Artificial Neural Network. In: 1st National Postgraduate Colloquium, 2004, School of Chemical Engineering, USM .
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic TK1-9971 Electrical engineering. Electronics. Nuclear engineering
spellingShingle TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Ahmad, M. A.
Saleh, J Mohamad
Software Toolkit For Designing An Artificial Neural Network.
description Basically, there are two kinds of artificial neural network (ANN), which can be classified into supervised and unsupervised. Commonly, supervised neural networks are trained or weights adjusted, so that a particular input leads to a specific target output. Generally, the supervised training methods are commonly used in solving most problems. An ANN can be designed, trained, validated and tested by means of the Neural Network Toolbox in Matlab.
format Conference or Workshop Item
author Ahmad, M. A.
Saleh, J Mohamad
author_facet Ahmad, M. A.
Saleh, J Mohamad
author_sort Ahmad, M. A.
title Software Toolkit For Designing An Artificial Neural Network.
title_short Software Toolkit For Designing An Artificial Neural Network.
title_full Software Toolkit For Designing An Artificial Neural Network.
title_fullStr Software Toolkit For Designing An Artificial Neural Network.
title_full_unstemmed Software Toolkit For Designing An Artificial Neural Network.
title_sort software toolkit for designing an artificial neural network.
publishDate 2004
url http://eprints.usm.my/9799/1/Software_Toolkit_for_Designing_and_Artificial_Neural_Network_%28PPKKimia%29_2004.pdf
http://eprints.usm.my/9799/
_version_ 1643701373293821952
score 13.211869

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