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A combined gray neural network model of seasonal heating load forecast

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摘要 Seasonal heating load time sequence has the double trends of increasing and fluctuating, so it''s difficult to select a model to forecast it. In this paper, a combined model of gray model and artificial neural network model was presented to forecast seasonal heating load. A concrete model was established and was verified through actual examples.
出处 《Journal of Chongqing University》 CAS 2003年第U10期69-71,共3页 重庆大学学报(英文版)
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