Prediction of the critical volume of alkenes using a quantitative structure property relationship;
提出了一种基于元素和化学键的估算有机物临界体积的新方法。
Study on quantitative structure-property relationship of organics would be helpful in researching for equeous solubility and octanal-water partition coefficients of organics.
研究有机物的定量结构-性质关系将有助于研究有机物的均等溶解度和辛酸-水分配系数。
Linear solvation energy technique was used to develop quantitative structure-property relationships (QSPR) model.
应用线性溶剂化能方法构建定量结构-性质相关(QSPR)模型。
A quantitative structure-property relationship (QSPR) model based on artificial neural networks was established to predict the flash points of fatty alcohols.
建立了一个基于人工神经网络方法的定量结构-性质相关性(QSPR)研究模型，用于预测脂肪醉闪点。
These results demonstrate that the quantitative structure-property relationship(QSPR) models have a high correlativity, fine stability and precise predictability.
结果表明，所建定量结构性质相关（QSPR）模型的相关性高、稳健性好、预测能力强。
On the basis of quantitative analysis the writer has discovered intrinsic relations between the pace of technology innovation and patent property, between cost structure and patent' economy value.
在对模型进行量化的基础上，分析技术创新速度与企业获得专利权、企业成本结构与专利社会效益之间的内在联系。
The developed quantitative formula can be applied to predict the biodegradation values of LAS and to help disclose structure-property relationship of chemical compounds.
应用这一定量关系式， 能够合理表征LAS的结构性能关系， 且有助于揭示化合物结构与性能之间的关系。
Study on quantitative structure-property relationship (QSPR) of organics would be helpful in researching for equeous solubility (pS) and octanal-water partition coefficients (logKsw) of organics.
基于定量结构-性质关系（QSPR）研究有机物的性质具有重要意义。
Study on quantitative structure-property relationship (QSPR) of organics would be helpful in researching for equeous solubility (pS) and octanal-water partition coefficients (logKsw) of organics.
基于定量结构-性质关系（QSPR）研究有机物的性质具有重要意义。
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