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

Chanin Nantasenamat; Thanakorn Naenna; Chartchalerm Isarankura‐Na‐Ayudhya; Virapong Prachayasittikul

doi:10.1007/s10822-005-9004-4

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

Chanin Nantasenamat Thanakorn Naenna Chartchalerm Isarankura‐Na‐Ayudhya Virapong Prachayasittikul

Year: 2005 Journal: Journal of Computer-Aided Molecular Design Vol: 19 (7)Pages: 509-524 Publisher: Springer Science+Business Media

DOI: 10.1007/s10822-005-9004-4

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Keywords:

Molecularly imprinted polymer Artificial neural network Molecular imprinting Imprinting (psychology) Consistency (knowledge bases) Biological system Polymer Computer science Pattern recognition (psychology) Artificial intelligence Materials science Chemistry Biology Selectivity

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Analytical chemistry methods development

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Analytical Chemistry and Chromatography

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Mass Spectrometry Techniques and Applications

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

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