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• W104329330 abstract "We report on the latest advances and applications of an innovative cheminformatics approach based on neural networks for structures (Recursive Neural Networks), which has recently been employed for the QSPR analysis of polymeric compounds with diverse structures. This work presents a comprehensive survey of the obtained prediction results on acrylic and methacrylic polymers, including statistical copolymers. The flexibility of the described method supports its exploitation for the study and development of new molecules and materials of biomedical interest." @default.
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• W104329330 date "2009-07-16" @default.
• W104329330 modified "2023-10-18" @default.
• W104329330 title "Recursive Neural Networks for Cheminformatics: QSPR for Polymeric Compounds (Towards Biomaterials Design)" @default.
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• W104329330 hasPublicationYear "2009" @default.
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