面向对象的编程方式在网络神经元算法中的应用

Application of Object-oriented Programming in Network Neuron Algorithm

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。

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 RD,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.