Artificial neural network application in sediment prediction: a review
The development of an accurate sediment prediction model is a priority for all hydrological researchers. Several conventional approaches showed an inability to predict suspended sediment correctly. These approaches fall short in understanding the transport of sediments behaviour in rivers because of...
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Main Authors: | , , , , , |
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Other Authors: | |
Format: | Book Section |
Language: | English |
Published: |
Penerbit UTHM
2020
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Subjects: | |
Online Access: | http://eprints.uthm.edu.my/2711/1/Ch03.pdf http://eprints.uthm.edu.my/2711/ |
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