Predictive Modeling with Artificial Neural Networks to Optimize Dosing Accuracy of Galenical Powder Dosing Systems
A predictive model is proposed based on artificial neural networks (RNA) to optimize the quality of dosing of galenical powders in bottles, where it is necessary to maintain accuracy and stability, as the current electromechanical control methods have these shortcomings. The experimental development...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
University North
2025-01-01
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| Serija: | Tehnički Glasnik |
| Teme: | |
| Online dostop: | https://hrcak.srce.hr/file/484981 |
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