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。
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.
出处
《东华大学学报（自然科学版）》
CAS
CSCD
北大核心
2003年第1期52-56,共5页
Journal of Donghua University(Natural Science)
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
forecast of air conditioning loads, neural network, chaos optimization, algorithm, error function, searching method
