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Process parameter optimization model for tablet compression based on random forest and proximal policy optimization algorithm
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DOI：10.1016/j.ijpharm.2025.126310.png)
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Abstract
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• Development of an RF-PPO model to optimize critical parameters in tablet compression. • Tablet weight prediction by Random Forest model showing good agreement to actual data. • Rapid parameter optimization with a 0.003-second response time using PPO algorithm. • Tablet quality improved from qualified to premium range by RF-PPO model optimization.
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