Quantitative prediction of imprinting factor of molecularly imprinted polymers by artificial neural network

@article{Nantasenamat2005QuantitativePO,
  title={Quantitative prediction of imprinting factor of molecularly imprinted polymers by artificial neural network},
  author={Chanin Nantasenamat and Thanakorn Naenna and Chartchalerm Isarankura-Na-Ayudhya and Virapong Prachayasittikul},
  journal={Journal of computer-aided molecular design},
  year={2005},
  volume={19 7},
  pages={509-24}
}
Artificial neural network (ANN) implementing the back-propagation algorithm was applied for the calculation of the imprinting factors (IF) of molecularly imprinted polymers (MIP) as a function of the computed molecular descriptors of template and functional monomer molecules and mobile phase descriptors. The dataset used in our study were obtained from the literature and classified into two distinctive datasets on the basis of the polymer's morphology, irregularly sized MIP and uniformly sized… CONTINUE READING
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CRC Handbook of Chemistry and Physics: A Ready-Reference Book of Chemical and Physical Data, 71th ed.

  • D. R. Lide
  • 1990
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