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利用神经网络对温度系统的辨识
引用本文:陈晓平,和卫星,杨年法,英锐男.利用神经网络对温度系统的辨识[J].江苏大学学报(自然科学版),1998(1).
作者姓名:陈晓平  和卫星  杨年法  英锐男
作者单位:江苏理工大学电气系
摘    要:针对神经网络对系统辨识时,在一次采样周期内只学习一次样本对的低效率情况,采用一种改进措施,即在一次采样周期内进行多个样本对的学习,同时还采用离线辨识和在线辨识结合的方法,使神经网络能快速、准确地辨识系统的特性.

关 键 词:系统辨识  温度控制/神经网络

Identification of Temperature Systems by Means of Neural Networks
Chen Xiaoping,He Weixing,Yang Nianfa,Ying Ruinan.Identification of Temperature Systems by Means of Neural Networks[J].Journal of Jiangsu University:Natural Science Edition,1998(1).
Authors:Chen Xiaoping  He Weixing  Yang Nianfa  Ying Ruinan
Institution:Chen Xiaoping He Weixing Yang Nianfa Ying Ruinan
Abstract:Considering the fact that in identification of system by means of neural networks, only one pair of specimens can be performed during each sampling period, which results in a waste of processing time, this paper proposes an improved method in which several learning interactions take place during each single sampling period. By combining off line training with on line training the new method enables neural networks to identify quickly and accurately the properties of a system.
Keywords:system identification  temperature control/neural networks
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