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Applying Neural Network in Evaporative Cooler Performance Prediction
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作者 强天伟 沈恒根 +1 位作者 黄翔 宣永梅 《Journal of Donghua University(English Edition)》 EI CAS 2007年第3期400-403,共4页
The back-propagation (BP) neural network is created to predict the performance of a direct evaporative cooling (DEC) air conditioner with GLASdek pads. The experiment data about the performance of the DEC air cond... The back-propagation (BP) neural network is created to predict the performance of a direct evaporative cooling (DEC) air conditioner with GLASdek pads. The experiment data about the performance of the DEC air conditioner are obtained. Some experiment data are used to train the network until these data can approximate a function, then, simulate the network with the remanent data. The predicted result shows satisfying effects. 展开更多
关键词 neural network direct evaporative cooling airconditioner evaporative cooler TRAIN simulate
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