| 基于神经网络的空调负荷混沌优化预测 |
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| 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. |
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| 作者姓名： | 曹双华 曹家枞 |
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| 作者单位： | 东华大学环境科学与工程学院,上海,200051 |
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| 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。
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| 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年12月31 |
A Chaos Optimized Forecast for Air Conditioning Loads Based on Neural Network |
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| 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. |
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| Authors: | CAO Shuang-hua CAO Jia-cong |
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| 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. |
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| Keywords: | forecast of air conditioning loads neural network chaos optimization algorithm error function searching method |
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