Artificial neural network
A biological neurone receives inputs from many sources, combines and presents them as a non-linear operation before releasing outputs as the final result. Inspired by the neural structures of human brain. Artificial Neural Network (ANN) is a computational model for process optimization that has an a...
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Universiti Putra Malaysia Press
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/60016/1/ARTIFICIAL%20NEURAL%20NETWORK%20%2896-99%29.pdf http://psasir.upm.edu.my/id/eprint/60016/ |
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my.upm.eprints.600162018-04-06T07:08:42Z http://psasir.upm.edu.my/id/eprint/60016/ Artificial neural network Muhamad Nor, Norfarina Yahya, Mohamad Ridzuan Saad, Wan Zuhainis Mohamad, Rosfarizan A biological neurone receives inputs from many sources, combines and presents them as a non-linear operation before releasing outputs as the final result. Inspired by the neural structures of human brain. Artificial Neural Network (ANN) is a computational model for process optimization that has an ability to recognize and reproduce the networks via training of various input-output systems that lead to the demonstration of complex systems. Universiti Putra Malaysia Press 2016 Book Section PeerReviewed text en http://psasir.upm.edu.my/id/eprint/60016/1/ARTIFICIAL%20NEURAL%20NETWORK%20%2896-99%29.pdf Muhamad Nor, Norfarina and Yahya, Mohamad Ridzuan and Saad, Wan Zuhainis and Mohamad, Rosfarizan (2016) Artificial neural network. In: Nature's Yield and Wonders of Art (NYAWA)16: Brain. Universiti Putra Malaysia Press, Serdang, Selangor, pp. 96-99. ISBN 9789679604153 |
| institution |
Universiti Putra Malaysia |
| building |
UPM Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Putra Malaysia |
| content_source |
UPM Institutional Repository |
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http://psasir.upm.edu.my/ |
| language |
English |
| description |
A biological neurone receives inputs from many sources, combines and presents them as a non-linear operation before releasing outputs as the final result. Inspired by the neural structures of human brain. Artificial Neural Network (ANN) is a computational model for process optimization that has an ability to recognize and reproduce the networks via training of various input-output systems that lead to the demonstration of complex systems. |
| format |
Book Section |
| author |
Muhamad Nor, Norfarina Yahya, Mohamad Ridzuan Saad, Wan Zuhainis Mohamad, Rosfarizan |
| spellingShingle |
Muhamad Nor, Norfarina Yahya, Mohamad Ridzuan Saad, Wan Zuhainis Mohamad, Rosfarizan Artificial neural network |
| author_facet |
Muhamad Nor, Norfarina Yahya, Mohamad Ridzuan Saad, Wan Zuhainis Mohamad, Rosfarizan |
| author_sort |
Muhamad Nor, Norfarina |
| title |
Artificial neural network |
| title_short |
Artificial neural network |
| title_full |
Artificial neural network |
| title_fullStr |
Artificial neural network |
| title_full_unstemmed |
Artificial neural network |
| title_sort |
artificial neural network |
| publisher |
Universiti Putra Malaysia Press |
| publishDate |
2016 |
| url |
http://psasir.upm.edu.my/id/eprint/60016/1/ARTIFICIAL%20NEURAL%20NETWORK%20%2896-99%29.pdf http://psasir.upm.edu.my/id/eprint/60016/ |
| _version_ |
1643837236856225792 |
| score |
13.160551 |