Indexed by:期刊论文
Date of Publication:2019-05-08
Journal:系统仿真学报
Included Journals:PKU
Volume:31
Issue:5
Page Number:861-868
ISSN No.:1004-731X
Key Words:室温滞后;神经网络;模型辨识;变风量空调
Abstract:针对变风量空调系统室温大滞后动态响应特性数学描述问题,介绍了基于神经网络的模型辨识基本原理.基于Elman网络模型结构特点,提出了一种Elman网络层延迟系数最优选择算法,用以确定室温对系统调节量的滞后时间.在此基础上,进一步建立了基于Elman网络的室温时滞系统多步预测模型.通过仿真试验研究,验证了提出算法的准确性和有效性.
Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Main positions:Deputy Director, Department of Civil Engineering, Dalian University of Technology
Other Post:Member of APEC EGEE&C Group
Gender:Male
Alma Mater:Harbin Institute of Technology
Degree:Doctoral Degree
School/Department:Institute of Building Energy, Dalian University of Technology
Discipline:Heat and Gas Supply, Ventilation and Air Conditioning Engineering
Business Address:417 Room, Houxing Building
Contact Information:Email：zhaotianyi@dlut.edu.cn Office:86-411-84707734
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