Simple parameter estimation for complex models — Testing evolutionary techniques on 3-dimensional biogeochemical ocean models
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文摘
Parameter estimation using evolutionary techniques for 2 biogeochemical ocean models Monte Carlo experiment to develop multi-observation cost function for optimization Evolutionary techniques achieve cost function reduction for more than 40 parameters. Including multiple data types in cost function reduces outlying parameter values. More types of data needed to better constrain model parameters
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