基于改进神经网络算法的电子设备控制方法仿真

Simulation of Electronic Equipment Control Method Based on Improved Neural Network Algorithm

文章主要基于改进神经网络算法的电子设备控制方法仿真进行研究分析,结合当前电子设备控制方法应用现状为根据。在社会发展以及科学技术进步基础上,神经网络算法得到非常广泛的应用,尤其是其中的遗传算法更是对神经网络算法的应用起到重要的推动作用,利用电子设备对其进行严格控制,并且将这种方法应用到球杆系统进行观察,这种形式具有结构简单、泛化能力强以及控制效果好的优势。

This article mainly based on the analysis of control method for simulation of electronic equipment improved neural network algorithm, combined with the current control method for electronic equipment. According to the application status in the social development and progress of science and technology based on neural network algorithm has been widely used, especially in which the genetic algorithm is an important role in promoting the application of the neural network algorithm, strict control of the use of electronic equipment, and apply this method to the club system were observed, this form has the advantages of simple structure, strong generalization ability and good control effect.