Hybrid model based identification of biochemical processes using sensitivity equations approach
نویسندگان
چکیده
An approach for hybrid model parameter identification based on sensitivity equations approach is tested on a hybrid model for biosurfactant production process. The computer simulations were performed using software tools created in Matlab (The MathWorks, Inc.) environment. Possible difficulties and ways of practical implementation of the analyzed identification algorithms for the identification of complex hybrid models for biochemical processes are outlined. The hybrid model identification results are discussed. Key-Words: Hybrid models, artificial neural networks, parameter identification, sensitivity equations
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