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一种面向大规模建筑群能耗预测的BP神经网络模型配置方法 被引量:4
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作者 姚丽丽 张红利 +3 位作者 万玉建 朱峰 檀姗姗 章永来 《建筑节能》 CAS 2016年第5期64-69,83,共7页
针对大规模建筑群的能耗预测问题,提出了一种基于BP神经网络的模型配置方法。该方法将复杂的建筑能耗预测相关的影响因素、参数、算法与建筑能耗实际预测功能进行解耦分离,实现任意预测模型的可配置化创建,有效地降低了建筑能耗预测系... 针对大规模建筑群的能耗预测问题,提出了一种基于BP神经网络的模型配置方法。该方法将复杂的建筑能耗预测相关的影响因素、参数、算法与建筑能耗实际预测功能进行解耦分离,实现任意预测模型的可配置化创建,有效地降低了建筑能耗预测系统的开发和维护成本,使得大规模建筑群的能耗预测系统易于实现。目前,可配置化的建筑能耗预测系统已被应用于多栋建筑的能耗预测,有效地降低了能源浪费。 展开更多
关键词 大规模建筑能耗预测 BP神经网络 模型配置方法
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Nonlinear Auto-Companding Method for Behavioral Modeling of Switched-Current Circuits
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作者 王伟 曾璇 +2 位作者 陶俊 苏仰峰 唐璞山 《Journal of Semiconductors》 EI CAS CSCD 北大核心 2002年第12期1254-1261,共8页
A wavelet collocation method with nonlinear auto companding is proposed for behavioral modeling of switched current circuits.The companding function is automatically constructed according to the initial error distri... A wavelet collocation method with nonlinear auto companding is proposed for behavioral modeling of switched current circuits.The companding function is automatically constructed according to the initial error distribution obtained through approximating the input output function of the SI circuit by conventional wavelet collocation method.In practical applications,the proposed method is a general purpose approach,by which both the small signal effect and the large signal effect are modeled in a unified formulation to ease the process of modeling and simulation.Compared with the published modeling approaches,the proposed nonlinear auto companding method works more efficiently not only in controlling the error distribution but also in reducing the modeling errors.To demonstrate the promising features of the proposed method,several SI circuits are employed as examples to be modeled and simulated. 展开更多
关键词 wavelet collocation method behavioral modeling switched current circuits nonlinear auto companding
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