化学计量学中人工神经网络部分课程建设探讨

Exploration of Course Construction on Artificial Neural Network Section of Chemometrics

人工神经网络是《化学计量学》课的一个重要组成部分,所建立的模型常常用于解决各种复杂任务。为了使抽象的理论更容易为学生所理解,在教学中采用多种教学手段,例如激发学生的学习兴趣和在教学中对人工神经网络与神经系统(尤其是脑)进行类比。课程中讲解的主要内容为反向传输人工神经网络与kohonen自组织映射及其在化学中的应用。

Artificial neural networks were an essential part of course of chemometrics.The mathematics models constructed by artificial neural networks were mostly used to solve variety of complicated tasks.In order to make the students understand the abstract theory easier , several means were used in teaching , for example, to inspire the students’ learning interests and to compare the artificial neural networks with nervous systems （ in particular the brain ） .The major teaching contents of the course were backpropagation neural network and Kohonen self -organization map , as well as their applications to chemistry.