【摘要】 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。结果表明,神经网络具有明显的优点,而RBF网络又比BF网络更加精确,且收敛速度要快1 000倍以上。更多还原

【Abstract】 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.The results indicate,neural network hasclear merits and RBF network is more accurate than BP network,but the convergent speed is faster.更多还原