Application of a multilayer perceptron artificial neural network for the prediction and optimization of the andrographolide content in andrographis paniculata

HIGHLIGHTS

• who: Bibhuti Bhusan Champati et al. from the Center for Biotechnology, Siksha u2018O` Anusandhan (Deemed to be University), Kalinga Nagar have published the research: Application of a Multilayer Perceptron Artificial Neural Network for the Prediction and Optimization of the Andrographolide Content in Andrographis paniculata, in the Journal: Molecules 2022, 2765 of 24/04/2022
• what: The variation in secondary metabolites in this study might not be due to the developmental stages as all the samples were collected in a single growing season with similar growth features.
• how: The result showed that the ANN . . .
  

   

  

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