Pengkelasan Aggregat Menggunakan Rangkaian Neural Berhirarki
Aggregate must be classify into good shape and not depend on the types. Nowadays, the classification of the aggregate is done manually. This technique is not practical because it take a lot of time and high skill to get the result. Good classification of the aggregate is important in roads con...
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| Format: | Monograph |
| Language: | English |
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Universiti Sains Malaysia
2006
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| Online Access: | http://eprints.usm.my/58763/1/Pengkelasan%20Aggregat%20Menggunakan%20Rangkaian%20Neural%20Berhirarki_Ahmad%20Nafis%20Othman.pdf |
| _version_ | 1797014135965220864 |
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| author | Othman, Ahmad Nafis |
| author_facet | Othman, Ahmad Nafis |
| author_sort | Othman, Ahmad Nafis |
| collection | USM |
| description | Aggregate must be classify into good shape and not depend on the types.
Nowadays, the classification of the aggregate is done manually. This technique is not
practical because it take a lot of time and high skill to get the result. Good
classification of the aggregate is important in roads construction. The good structure
of the road could minimize the rate of accident. This project used hierarchal neural
network to classify the aggregate automatically. This neural network has it
advantages because it can classify the aggregate to its category and shapes. The
aggregates are classified into good and bad shape. There are several types of
aggregates which are angular, cubical, irregular and elongated. Hopefully the
classification of the hierarchal neural network can be used to classify the aggregate
perfectly. |
| first_indexed | 2024-03-06T16:11:54Z |
| format | Monograph |
| id | usm.eprints-58763 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2024-03-06T16:11:54Z |
| publishDate | 2006 |
| publisher | Universiti Sains Malaysia |
| record_format | dspace |
| spelling | usm.eprints-587632023-06-01T08:30:54Z http://eprints.usm.my/58763/ Pengkelasan Aggregat Menggunakan Rangkaian Neural Berhirarki Othman, Ahmad Nafis T Technology TK Electrical Engineering. Electronics. Nuclear Engineering Aggregate must be classify into good shape and not depend on the types. Nowadays, the classification of the aggregate is done manually. This technique is not practical because it take a lot of time and high skill to get the result. Good classification of the aggregate is important in roads construction. The good structure of the road could minimize the rate of accident. This project used hierarchal neural network to classify the aggregate automatically. This neural network has it advantages because it can classify the aggregate to its category and shapes. The aggregates are classified into good and bad shape. There are several types of aggregates which are angular, cubical, irregular and elongated. Hopefully the classification of the hierarchal neural network can be used to classify the aggregate perfectly. Universiti Sains Malaysia 2006-05-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/58763/1/Pengkelasan%20Aggregat%20Menggunakan%20Rangkaian%20Neural%20Berhirarki_Ahmad%20Nafis%20Othman.pdf Othman, Ahmad Nafis (2006) Pengkelasan Aggregat Menggunakan Rangkaian Neural Berhirarki. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Elektrik dan Elektronik. (Submitted) |
| spellingShingle | T Technology TK Electrical Engineering. Electronics. Nuclear Engineering Othman, Ahmad Nafis Pengkelasan Aggregat Menggunakan Rangkaian Neural Berhirarki |
| title | Pengkelasan Aggregat Menggunakan Rangkaian Neural Berhirarki |
| title_full | Pengkelasan Aggregat Menggunakan Rangkaian Neural Berhirarki |
| title_fullStr | Pengkelasan Aggregat Menggunakan Rangkaian Neural Berhirarki |
| title_full_unstemmed | Pengkelasan Aggregat Menggunakan Rangkaian Neural Berhirarki |
| title_short | Pengkelasan Aggregat Menggunakan Rangkaian Neural Berhirarki |
| title_sort | pengkelasan aggregat menggunakan rangkaian neural berhirarki |
| topic | T Technology TK Electrical Engineering. Electronics. Nuclear Engineering |
| url | http://eprints.usm.my/58763/1/Pengkelasan%20Aggregat%20Menggunakan%20Rangkaian%20Neural%20Berhirarki_Ahmad%20Nafis%20Othman.pdf |
| work_keys_str_mv | AT othmanahmadnafis pengkelasanaggregatmenggunakanrangkaianneuralberhirarki |