| 一种径向基神经网络模型在图书馆能耗监测上的应用 |
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| 引用本文： | 孙腾,曾雪莲.一种径向基神经网络模型在图书馆能耗监测上的应用[J].智能计算机与应用,2017,7(2). |
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| 作者姓名： | 孙腾 曾雪莲 |
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| 作者单位： | 钦州学院 广西高校临海机械装备设计制造及控制重点实验室培育基地,广西 钦州,535011 |
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| 基金项目： | 广西高校中青年教师基础能力提升项目，钦州学院高等教育本科教学改革工程项目，钦州学院教改项目 |
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| 摘 要： | 由于大多数建筑没有安装能耗监测设备,如何合理、准确地制定节能措施以及实现科学化管理是一个比较困难的问题.针对这一问题,本文将日最高温度、工作时间、湿度、太阳辐射、人员密度作为影响图书馆能耗的主要因素,构建了基于径向基神经网络的能耗数据分析网络,并证明了径向基神经网络具有良好的拟合性能.为降低图书馆能耗的节能措施的制定和节能管理提供可靠依据.
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| 关 键 词： | 建筑节能 数据分析 RBF网络 绿色环保 |
A RBF networks model applied in energy consumption monitoring for library |
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| SUN Teng,ZENG Xuelian.A RBF networks model applied in energy consumption monitoring for library[J].INTELLIGENT COMPUTER AND APPLICATIONS,2017,7(2). |
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| Authors: | SUN Teng ZENG Xuelian |
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| Abstract: | At present, since most of the existing buildings have not installed energy consumption refined measuring equipment, developing reasonable and accurate energy-saving measures and realizing scientific management are difficult problems.The highest temperature、working time、humidity、solar radiation and the density of people are adopted to establish RBF model.It proves that the RBF network has a good fitting performance which provides reliable evidence for energy-saving measures and realizing scientific management. |
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| Keywords: | buildings' energy conservation data analysis RBF network green environment protection |
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