首页 | 本学科首页   官方微博 | 高级检索  
     

基于神经网络的空调负荷混沌优化预测
引用本文:曹双华,曹家枞. 基于神经网络的空调负荷混沌优化预测[J]. 东华大学学报(自然科学版), 2003, 29(1): 52-56
作者姓名:曹双华  曹家枞
作者单位:东华大学环境科学与工程学院,上海,200051
摘    要:从空调负荷预测的目的出发,详细介绍了一种基于神经网络的混沌优化方法,对误差函数及搜索方法作了适当的改进,建立了一个混沌神经网络模型。并用此改进的模型对一实例进行了空调负荷预测,结果表明该方法简便、足够准确可靠。

关 键 词:空调负荷预测 神经网络 混沌优化 算法 误差函数 搜索方法 空调系统
修稿时间:2001-12-31

A Chaos Optimized Forecast for Air Conditioning Loads Based on Neural Network
CAO Shuang-hua,CAO Jia-cong. A Chaos Optimized Forecast for Air Conditioning Loads Based on Neural Network[J]. Journal of Donghua University, 2003, 29(1): 52-56
Authors:CAO Shuang-hua  CAO Jia-cong
Abstract:For the sake of the forecast for air conditioning loads, a chaos optimization algorithm based on artificial neural network is described in detail, and a model of the chaotic optimization neural network algorithm is established with the error function improved and the searching method optimized. As an example, a simulation is made to forecast the air conditioning loads of a real case using this improved model. The results show that the model and method are simple, relatively exact and reliable.
Keywords:forecast of air conditioning loads   neural network   chaos optimization   algorithm   error function   searching method
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号