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使用人工神经网络优化快速分解平板电脑的关键质量属性:一项科学基准研究

Jagruti Desai1, Prince Dhameliya1, Swayamprakash Patel1

  • 1Department of Pharmaceutical Technology, Ramanbhai Patel College of Pharmacy, Charotar University of Science and Technology (CHARUSAT), CHARUSAT Campus, Changa, Gujarat, India.

Drug development and industrial pharmacy
|December 8, 2024
PubMed
概括

人工神经网络 (ANN) 准确地预测快速分解平板电脑 (FDT) 的质量属性,优化配方. 这种机器学习方法提高了药物应用的药片一致性和效率.

关键词:
快速分散的药片 (FDT) 是一种药物.人工神经网络 (ANN) 的人工神经网络关键质量属性 (CQA) 是指关键质量属性.配方优化 优化 配方优化k-最近的邻居 (kNN)机器学习是机器学习.支持矢量机器 (SVM) 的使用

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