数量结构-活动关系
支持向量机
主成分分析
结构风险最小化
人工神经网络
偏最小二乘回归
计算机科学
机器学习
人工智能
主成分回归
预测建模
数据挖掘
生化工程
工程类
摘要
Quantitative structure-activity relationship of the design and development of new drugs,toxicity evaluation and prediction of toxic environment plays a role.This paper briefly described several QSAR modeling methods: multiple linear regression,principal component analysis,partial least squares,artificial neural network and support vector machine,and that several different modeling methods for the application in practice.It showed that the PLS and ANN were excellent modeling methods,predictive capability was very good,SVM modeling through structural risk minimization principle,to effectively minimized the risks expectations that the model prediction had improved significantly,and the environmental toxicology evaluation and prediction had broad application prospects.
科研通智能强力驱动
Strongly Powered by AbleSci AI