摘要
仿真实验是“人工神经网络”课程教学中的有效手段,它有助于学生加深对相关概念的理解和对所学知识的深化。但是仅利用Matlab进行仿真实验不够直观。本文提出一种Matlab和VC++相结合的仿真实验开发方法,并结合“基于BP神经网络的图像识别”实验介绍了实验开发步骤。实践证明这种方法开发出的实验具有更加友好的界面,有利于学生对神经网络工程应用的理解。
Simulation experiment is one of students absorb what they have learned. the effective means for Neural Network teaching. It helps But the simulation experiments with Matlab only have some shortcomings which make the simulation experiments not intuitionistic. This paper presents a design method for simulation experiment with Matlab and VC＋＋. With this method the experiment of image recognition based on BP neural network is developed. The experiment teaching shows that experiments developed with this method has the friendly interface and it can help students to learn the applications of neural network.
出处
《电气电子教学学报》
2007年第3期77-80,共4页
Journal of Electrical and Electronic Education
