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Based on dynamic neural network-Boltzmann machines, a new optimal forecast control method of penicillin fermentation processes is proposed. First, according to the input and output data of the fed-batch fermentation processes, the generalized predictive control (GPC) model is built by system identification tools. Secondly, adopting the dynamic neural network-Boltzmann machine as an optimal controller,...
Based on dynamic neural network-Boltzmann machines, a new receding optimal control method of penicillin fermentation processes is proposed. First, according to the input and output data of the fed-batch fermentation processes, the subsection state-space models are built by system identification tools. Secondly, adopting the dynamic neural network-Boltzmann machine as an optimal controller, combining...
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