4.6 Article

Learning to navigate a crystallization model with Deep Reinforcement Learning

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Summary: This study improves the control strategy of pharmaceutical crystallization process by applying radial basis functions network (RBF) feedback control algorithms, and validates its effectiveness through different data treatment and training methods. The RBF control strategies show promising performance, especially in soft sensor control and predictive control.

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