面向对象的编程方式在网络神经元算法中的应用

摘要

Network neuron is the algorithm of establishing nonlinear model, which has been gotten higher evaluation in field of automation control. However, its application is relatively difficult. When establishing a practical automation control model, we must adopt appropriate network and proper training method according to the control object, therefore, it needs to constantly adjust procedures and algorithm in process of R&D, and in this cumbersome process, a good design and programming method is very important. In this paper, through the practical case of development of network neuron algorithm and the comparison of the process of using object -oriented programming, the gain and loss of this programming were analyzed.%网络神经元算法是一个建立非线性模型的算法,在自动化控制领域得到了较高的评价.但同时应用起来较为困难的算法.在建立一个实际的自动化控制模型时,必须根据控制对象采用合适的网络及合适训练方法,因此在研发过程中需要不断的调整程序和算法.在这个繁琐的过程中,一个好的设计和编程方法是非常重要的.该文章通过一个实践中网络神经元算法开发过程的案例,对比采用面向对象方法编程的过程,分析了这种编程方式的得失.