This paper deals with the model building on the compounding of catalyst fatty alcohol by BP network and RBFnetwork and compares with the traditional multivariate linear regression method.

• 本文应用人工神经网络中的BP网络与RBF网络,讨论脂肪醇催化剂配方的建模问题,并与传统的多元线性回归方法进行对比。