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12 April 2004 A new data mining tool for analyzing coumarin-based prodrugs
Hao Fang, Jun Li, Yi Sun, Binghe Wang, Yan-Qing Zhang
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Proceedings Volume 5433, Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI; (2004) https://doi.org/10.1117/12.541595
Event: Defense and Security, 2004, Orlando, Florida, United States
Abstract
This paper focuses on using fuzzy neural network data mining techniques to analyze nonlinear relations among chemical factors. Through standardizing and rescaling the raw data, we processed the data into fuzzy neural network not only to learn chemical knowledge from large amounts of experimental data, but also predict future chemical parameters for further experimental verification. The results show that the most relative chemical factor can be obtained by analyzing the experimental errors using fuzzy rules.
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Hao Fang, Jun Li, Yi Sun, Binghe Wang, and Yan-Qing Zhang "A new data mining tool for analyzing coumarin-based prodrugs", Proc. SPIE 5433, Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI, (12 April 2004); https://doi.org/10.1117/12.541595
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KEYWORDS
Chemical analysis
Data mining
Neural networks
Data processing
Error analysis
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