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Simulation of suspended sediment load using neuro-fuzzy fusion model with different input combinations (case study: Sierra station-Karaj dam)
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Abstract: (12480 Views) |
| In order to reduce sediment and soil conservation
plan generation, the design and calculation of the exact size of the dam at
dams, evaluation and estimation of sediment yield in the watershed of the dam,
is essential. In general erosion and sediment transport of the most complex
issues that determine the exact hydrodynamic equations for the various
variables, it is not easy. The aim of this study was to simulate suspended
sediment load using a neural-fuzzy model is combined This is necessary for the
various input combinations using stepwise regression, genetic algorithm model
and gamma test and then determine the most suitable model for the input. Karaj
Dam Sierra station data in the period 1974-2011 (37 years) was used so that the
15variables as input and output variables as was
considered. Results indicated neuro-fuzzy models in a suitable combination of
the number of training data to select the most appropriate modeling of the
genetic algorithm to be achieved. It should be noted that in the case of all
input variables, modeling neuro-fuzzy model was not appropriate Therefore,
methods are necessary to determine the appropriate combination of inputs.
Finally, the Genetic Algorithm model as the most appropriate method and
stepwise regression, second, and third order gamma test as appropriate methods
to determine combination of neuro-fuzzy model inputs selected. The neuro-fuzzy
model when using a selected combination of genetic algorithms to simulate
suspended sediment load 99/0 correlation coefficient and the mean square error
as the most appropriate modeling 0000009/0 has been selected. |
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| Keywords: : select of input combinations, stepwise regression, genetic algorithms, Gamma test, Wingamma Software, Gamma Coefficient |
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Full-Text [PDF 462 kb]
(1574 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2015/06/1 | Accepted: 2015/06/1 | Published: 2015/06/1
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