QSPR based ANFIS model for predicting standard molar chemical exergy of organic materials
PETROLEUM SCIENCE AND TECHNOLOGY(2019)
摘要
Prediction of standard molar chemical exergy value for organic compounds is investigated using a quantitative structure-property relationship (QSPR) model combined with adaptive neuro-fuzzy inference system (ANFIS) strategy. Particle swarm optimization (PSO) method is also implemented to determine the optimal ANFIS structure. The proposed model uses three constitutional descriptors in model development's procedure. The QSPR-ANFIS model represents a great performance in prediction of the standard molar chemical exergy values with 0.9999, 44548, and 1.49 values for R-2, RMSE, and %AARD, respectively.
更多查看译文
关键词
ANFIS,chemical exergy,organic compounds,PSO,QSPR
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要