In this paper, the method based on uniform design and neural network is proposed to model the complex system. In order to express the system characteristics all round, uniform design method is used to choose the model...In this paper, the method based on uniform design and neural network is proposed to model the complex system. In order to express the system characteristics all round, uniform design method is used to choose the modeling samples and obtain the overall information of the system;for the purpose of modeling the system or its characteristics, the artificial neural network is used to construct the model. Experiment indicates that this method can model the complex system effectively.展开更多
影响建筑热工性能的因素及其变化水平较多,组合方案数量大,对所有组合工况的建筑能耗逐一进行动态模拟的计算工作量巨大,如何设计计算方案,减少计算工作量,而且保证计算结果的有效性和可靠性,值得深入研究。提出运用均匀设计法设计建筑...影响建筑热工性能的因素及其变化水平较多,组合方案数量大,对所有组合工况的建筑能耗逐一进行动态模拟的计算工作量巨大,如何设计计算方案,减少计算工作量,而且保证计算结果的有效性和可靠性,值得深入研究。提出运用均匀设计法设计建筑能耗模拟方案,并验证了其可行性,建立了建筑能耗、全生命周期费用和碳排放3个目标导向的多目标优化模型,利用多目标遗传算法(non-dominated sorting genetic algorithm Ⅱ,NSGA-Ⅱ)对优化模型进行了求解,通过熵权-TOPSIS(technique for order preference by similarity to ideal solution)法确定各优化目标权重,对最优解集进行排序,提出了一种用于确定建筑围护结构最佳保温层厚度的计算方法。以徐州典型公共建筑为例,计算了不同冷热源条件下XPS(expanded polystyrene board)保温材料的外墙和屋面最佳保温层厚度。结果表明:相比于现行节能标准规定的热工性能限值,虽然全生命周期费用增加了3.6%~8.1%,但外墙和屋面热工性能分别提升了32.7%~41.8%和15.0%~23.0%,建筑能耗和全生命周期碳排放分别减少了4.0%~9.3%和2.2%~3.7%,获得了显著的节能、经济和环境综合效益。展开更多
文摘In this paper, the method based on uniform design and neural network is proposed to model the complex system. In order to express the system characteristics all round, uniform design method is used to choose the modeling samples and obtain the overall information of the system;for the purpose of modeling the system or its characteristics, the artificial neural network is used to construct the model. Experiment indicates that this method can model the complex system effectively.
文摘影响建筑热工性能的因素及其变化水平较多,组合方案数量大,对所有组合工况的建筑能耗逐一进行动态模拟的计算工作量巨大,如何设计计算方案,减少计算工作量,而且保证计算结果的有效性和可靠性,值得深入研究。提出运用均匀设计法设计建筑能耗模拟方案,并验证了其可行性,建立了建筑能耗、全生命周期费用和碳排放3个目标导向的多目标优化模型,利用多目标遗传算法(non-dominated sorting genetic algorithm Ⅱ,NSGA-Ⅱ)对优化模型进行了求解,通过熵权-TOPSIS(technique for order preference by similarity to ideal solution)法确定各优化目标权重,对最优解集进行排序,提出了一种用于确定建筑围护结构最佳保温层厚度的计算方法。以徐州典型公共建筑为例,计算了不同冷热源条件下XPS(expanded polystyrene board)保温材料的外墙和屋面最佳保温层厚度。结果表明:相比于现行节能标准规定的热工性能限值,虽然全生命周期费用增加了3.6%~8.1%,但外墙和屋面热工性能分别提升了32.7%~41.8%和15.0%~23.0%,建筑能耗和全生命周期碳排放分别减少了4.0%~9.3%和2.2%~3.7%,获得了显著的节能、经济和环境综合效益。
文摘针对目前铁路现场对轨道电路故障的判别仍然采用阈值法导致维护效率偏低的问题,提出将神经网络与模糊逻辑相结合,构建区间二型神经模糊系统(interval type-2 neural-fuzzy system,IT2NFS),通过诊断模型实现对轨道电路故障模式的智能识别.首先通过结构识别建立初步的网络结构,采用均匀设计方法生成模糊集的均值,对训练样本进行相似性测试,生成标准差和初始后件参数;再通过递归奇异值分解,优化后件参数以减小输出误差;最后,针对常见的8种故障,从实验平台上采集样本共计9000个,其中6300个样本用于模型训练,剩余2700个用于实验测试.实验结果表明:利用IT2NFS模型进行故障诊断时,每种故障类别的识别率均在82%以上,平均正确率为90.9%,仿真用时10.59 s.
