摘要
用偏最小二乘法(PLS)和人工神经网络(ANN)方法对润滑剂分子结构与表面张力和粘度之间的关系进行了定性分析和定量计算,采用的结构参数有分配系数、分子体积、分子表面积、溶度积、摩尔折射度和等张比容。定性分析结果与实验结果一致,定量计算结果与实验结果符合较好。
The viscosity and surface tension of lubricant have been qualitatively analyzed by means of partial least squares (PLS) method and quantitatively calculated using artificial neural network with structural parameters as features. The structural parameters involve distribution coefficient,molecular volume,molecular surface area,solubility product,molar refraction and parachor. The qualitatively or quantitatively calculated results are in agreement with experimental results.
出处
《广州化学》
CAS
2002年第4期10-13,共4页
Guangzhou Chemistry
基金
国家自然科学基金(50005018)
