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...
| Main Authors: | , , , |
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| Format: | Book Section |
| Language: | English |
| Published: |
Universiti Putra Malaysia Press
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/60016/ http://psasir.upm.edu.my/id/eprint/60016/1/ARTIFICIAL%20NEURAL%20NETWORK%20%2896-99%29.pdf |
| _version_ | 1848854077239197696 |
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| author | Muhamad Nor, Norfarina Yahya, Mohamad Ridzuan Saad, Wan Zuhainis Mohamad, Rosfarizan |
| author_facet | Muhamad Nor, Norfarina Yahya, Mohamad Ridzuan Saad, Wan Zuhainis Mohamad, Rosfarizan |
| author_sort | Muhamad Nor, Norfarina |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T11:04:08Z |
| format | Book Section |
| id | upm-60016 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:04:08Z |
| publishDate | 2016 |
| publisher | Universiti Putra Malaysia Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| spellingShingle | Muhamad Nor, Norfarina Yahya, Mohamad Ridzuan Saad, Wan Zuhainis Mohamad, Rosfarizan Artificial neural network |
| title | Artificial neural network |
| title_full | Artificial neural network |
| title_fullStr | Artificial neural network |
| title_full_unstemmed | Artificial neural network |
| title_short | Artificial neural network |
| title_sort | artificial neural network |
| url | http://psasir.upm.edu.my/id/eprint/60016/ http://psasir.upm.edu.my/id/eprint/60016/1/ARTIFICIAL%20NEURAL%20NETWORK%20%2896-99%29.pdf |