APPLICATION OF NEURAL NETWORK TO OPTIMAL CONTROL IN THE FLOOR ELECTRICAL HEATING SYSTEM

摘要：

The neural network system has been applied successfully in many fields. It can predict the heating load, and detect ventilating and air conditioning (HV&AC) system. This paper proposes an application of the neural network system into a floor electrical heating control system, The aim is to build the optimal system, through establishing a neural network model and optimizing its structure and related parameters to control the beginning and stop operation of the floor electrical heating system. For this, a numerical model programs is established to analyze and simulate thermal environment firstly, and it is applied to train and testify the neural network after gaining the simulation data. At last, through practical control, the neural network system was able to achieve the optimal beginning and stop time of the floor electrical heating system.

关键词： Neural Network Optimal Control HV&AC Floor electrical heating system

作者: Guojian Li Neng Zhu Guohui Feng Yanjun Hu

作者单位: School of environment science and technology, Tianjin University, Tianjin300072, China Municipal and Environmental Engineering Faculty, Shenyang Jianzhu University, Shenyang, 110168, Chin

会议类型: 国际会议

会议名称: 第五届暖通空调国际研讨会(Proceedings of the 5th International Symposium on Heating,Ventilating and Air Conditioning)

会议地点: 北京

会议语种:英文

在线出版日期: 2007-09-07（万方平台首次上网日期，不代表论文的发表时间）