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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| 格式: | Monograph |
| 語言: | English |
| 出版: |
Universiti Sains Malaysia
2006
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| 主題: | |
| 在線閱讀: | http://eprints.usm.my/58763/1/Pengkelasan%20Aggregat%20Menggunakan%20Rangkaian%20Neural%20Berhirarki_Ahmad%20Nafis%20Othman.pdf http://eprints.usm.my/58763/ |
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| 總結: | 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. |
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