Application of improved neuro-fuzzy GMDH to predict scour depth at sluice gates
An improved neuro-fuzzy based group method of data handling using the particle swarm optimization (NF-GMDH-PSO) is developed as an adaptive learning network to predict the localized scour downstream of a sluice gate with an apron. . The input characteristic parameters affecting the scour depth are t...
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| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/101746 http://hdl.handle.net/10220/19694 |
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| Institution: | Nanyang Technological University |
| Language: | English |