摘要
文章简述了MATLAB的特点、功能及其编程核心即M文件;结合化工实验实例介绍了MATLAB的数学建模,包括理论分析、程序实例;讨论了非线性映射的神经元网络的模型选取、训练规则及可视化界面。两种数据处理方法,前者简便实用,后者灵活且精度可调节。
MATLAB,a software is introduced,including its characteristics,functions.And the approach of programming of M File,which is the core of MATLAB,is also presented.This paper focuses on the methods as to how to use MATLAB to deal with data of chemical technology and engineering experiments,mainly the maths model and the artificial neural network.The process of establishing maths model is brought forward including the theoretical analysis and an example of program.The stages of building an artificial neural network such as the steps of information analysis,neural network selection and the figure interface are given.Compared with the result of above-mentioned two methods,the latter is recessive and precision is adjusted.
