【作者】 曹双华； 曹家枞；

【Author】 Cao Shuanghua, Cao Jiacong (College of Environmental Science & Engineering, Dong Hua University, Shanghai, 200051)

【机构】 东华大学环境科学与工程学院；

【摘要】 本文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,建立了一个混沌优化神经网络模型。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。更多还原

【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.更多还原