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BP神经网络在热计量装置热量积算中的应用
引用本文:苏刚,赵树兴,王玲玲,徐永生,范文,郭福雁. BP神经网络在热计量装置热量积算中的应用[J]. 天津城市建设学院学报, 2007, 13(1): 57-59
作者姓名:苏刚  赵树兴  王玲玲  徐永生  范文  郭福雁
作者单位:1. 天津城市建设学院,能源与机械工程系,天津,300384
2. 天津城市建设学院,电子与信息工程系,天津,300384
基金项目:天津市教委资助项目;天津市建委科技基金
摘    要:应用BP神经网络,对热计量装置热量积算中所需的表格数据(焓值和密度)进行离线训练,获得了相应的权值,并利用此权值取代相应的表格数据,在保证精确度的前提下,不仅减少了数据存储空间,而且还避免了插值运算,使编程得以简化,取得了较好的应用效果.

关 键 词:BP神经网络  表格数据  存储单元  插值
文章编号:24181244
修稿时间:2006-09-13

Application of BP Neural Network in Heat Integrating
Su Gang,ZHAO Shu-xing,WANG Ling-ling,XU Yong-sheng,FAN Wen,GUO Fu-yan. Application of BP Neural Network in Heat Integrating[J]. Journal of Tianjin Institute of Urban Construction, 2007, 13(1): 57-59
Authors:Su Gang  ZHAO Shu-xing  WANG Ling-ling  XU Yong-sheng  FAN Wen  GUO Fu-yan
Affiliation:1.Department of Electronics and Information Engineering; 2. Department of Engergy Technique and Mechanical Engineering, TIUC, Tianjin 300384, China
Abstract:The off-line training for the table data(enthalpy and density) in the heat integrating is conducted by BP neural networks.Weights are obtained and stored.So the table data is replaced by weights of BP neural networks.Compared with the table,BP neural networks not only make storage saved greatly,but also make interpolation unnecessary.Programming is easy,and the applied effect is obvious.
Keywords:BP neural network  table data  storage cell  interpolation
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