摘要
利用CMAC神经网络算法简单、学习速度快、易于软件实现的特点,在智能型热量计量与温湿度调节一体化装置中实现了最佳温湿度匹配库的建立;对用户的温湿度匹配值进行学习、联想记忆,满足了不同人的舒适性的要求;在基函数为1的情况下,可大大简化编程;运行结果表明,该方法学习速度快、精度高,在以人为本的人居环境控制中具有广阔的应用前景。
Because of CMAC simple calculation, rapid learn speed, easily software realization. Temperature and humidity matching base is Build in intelligent heat calculate and temperature and humidity control device based on CMAC neural network. It can learn and recallassociated to consumers temperature and humidity matchvalue and meet the comfort need of different consumer, under basis function 1＇,programming can be very simplified. Test results demonstrate the quickness and accuracy of the presented method. It has widely implemenration prospect in smart home environment system control based on human.
出处
《计算机测量与控制》
CSCD
2005年第7期686-687,690,共3页
Computer Measurement &Control
基金
山东省自然科学基金资助项目(Q2002G01)
关键词
CMAC
神经网络
温湿度
学习
CMAC
neural network
temperature and humidity degree
learning
