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To validate employed simulating models, the simulation results have been compared with experiment results reported from MIT laboratory and also with simulation results obtained by another research team.
For the numerical analysis and identification of the resulting models the simulation environment DIVA is described.
For both models, the simulation results were not satisfying using default parameters.
Compared with traditional models, the simulation results of the hybrid EMD BPNN model demonstrate that de-noising and capturing non-stationary characteristics of water temperature signals after EMD comprise a very powerful and reliable method for predicting water temperature in intensive aquaculture accurately and quickly.
Among the used turbulence models, the simulation results, adopting k ε model is found to have better predictions with experimental results.
Furthermore, based on the simplified equivalent models, the simulation in MATLAB demonstrates the effects of the wind power on EOMs of synchronous systems.
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In a system dynamics model, the simulations are essentially time-step simulations.
M.N. developed the models and ran the simulations.
S.S. and G.R. calibrated and fitted the models and run the simulations.
WY implemented the models and performed the simulations and analysis.
Almost all the models used simulations.
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