A new data mining tool for analyzing Coumarin-based prodrugs

被引：0
|
作者：
Fang, H [1 ]
Li, J [1 ]
Sun, Y [1 ]
Wang, B [1 ]
Zhang, YQ [1 ]
机构：
[1] Georgia State Univ, Dept Chem, Atlanta, GA 30303 USA
来源：
DATA MINING AND KNOWLEDGE DISCOVERY: THEORY, TOOLS, AND TECHNOLOGY VI | 2004年 / 5433卷
关键词：
neural network; data mining; fuzzy logic; chem-informatics; bioinformatics; drug discovery;
D O I：
10.1117/12.541595
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper focuses on using fuzzy neural 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.
引用
收藏
页码：142 / 152
页数：11
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