摘要
本文结合模糊控制的知识表达能力和神经网络的自学习自适应能力,把模糊控制技术、神经网络技术、计算机技术应用于温室控制系统的设计与研究,设计了温室模糊神经网络控制器。整个系统经实际运行表明,采用本文所提出的模糊神经网络方法进行控制,具有推理速度快,动态及静态性能好,抗干扰能力强等优点。
In this thesis,A controller for greenhouse system based on neural network is designed through applying the techniques of fuzzy control,neural network computer to this system and integrating the knowledge representation ability of fuzzy control and the self-learning and adaptive ability of neural networks.The whole system which is run actually is proved that the fuzzy neural network methods proposed in this thesis.It possesses advantages of fast reasoning,good dynamic performance and static performance,strong anti-interference capability.
出处
《微计算机信息》
2010年第22期55-56,63,共3页
Control & Automation
关键词
温室
模糊神经网络
模糊控制
Greenhouse
Fuzzy neural network
Fuzzy control
