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- W2373436661 abstract "To solve the problem of modeling in the fermentation process, the NNNARMAX (Neural Network Nonlinear Auto Regressive Moving Average) model for nonlinear system has been proposed. In the model the nonlinear mapping relation of NARMAX model is expressed with RBF (Radial Basis Function) neural network, the genetic algorithms is used to optimize the parameters (such as delay of NARMAX model, coefficients of filter). A group of contrasting experiments ,which are on modeling for temperature control in beer fermentation process by using NNNARMAX model and Elman neural network respectively, have been done and the results show that NNNARMAX model is more accurate than Elman neural network, and more capable in solving the problem of modeling the temperature control of fermentation process." @default.
- W2373436661 created "2016-06-24" @default.
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- W2373436661 date "2005-01-01" @default.
- W2373436661 modified "2023-09-25" @default.
- W2373436661 title "A method for nonlinear system modelin fermentation process" @default.
- W2373436661 hasPublicationYear "2005" @default.
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