共查询到18条相似文献,搜索用时 62 毫秒
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采用理论分析的方法,通过分析国内外在该方面的研究成果,剖析了人工神经网络在空调系统负荷预测中的应用,指出了利用人工神经网络(ANN)具有的高度的并行处理和可完成复杂的输入输出的非线性映射能力,进行空调系统负荷预测精度高、准确度好。ANN是一种有效的空调负荷预测手段。 相似文献
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大中型商场空调冷负荷问题 总被引:7,自引:0,他引:7
本文分析了大中型商场空调冷负荷特点、影响商场客流密度取值的因素以及新风冷负荷等问题,并根据我国暖通规范提供的气象参数,给出了在一定条件下商场空调冷负荷指标及各项冷负荷在总冷负荷中所占的比例。本文的内容可供商场空调设计参考。 相似文献
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分析了综合商场空调冷负荷特点,影响商场客流密度取值的因素以及新风冷负荷等问题,并根据我国暖通规范提供的气象参数,给出了在一定条件下商场空调冷负荷指标及各项冷负荷在总冷负荷中所占的比例。 相似文献
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基于人工神经网络的建筑物沉降预测 总被引:4,自引:0,他引:4
根据建筑物实测沉降利用人工神经网络理论 ,建立了前馈网络预测模型并提出新的学习算法 ,结合某建筑物纠偏工程实例对建筑物沉降进行了预测。预测结果表明神经网络方法是可行且有效的 相似文献
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Modeling and prediction of bed loads is an important but difficult issue in river engineering. The introduced empirical equations due to restricted applicability even in similar conditions provide different accuracies with each other and measured data. In this paper, three different artificial neural networks (ANNs) including multilayer percepterons, radial based function (RBF), and generalized feed forward neural network using five dominant parameters of bed load transport formulas for the Main Fork Red River in Idaho-USA were developed. The optimum models were found through 102 data sets of flow discharge, flow velocity, water surface slopes, flow depth, and mean grain size. The deficiency of empirical equations for this river by conducted comparison between measured and predicted values was approved where the ANN models presented more consistence and closer estimation to observed data. The coefficient of determination between measured and predicted values for empirical equations varied from 0.10 to 0.21 against the 0.93 to 0.98 in ANN models. The accuracy performance of all models was evaluated and interpreted using different statistical error criteria, analytical graphs and confusion matrixes. Although the ANN models predicted compatible outputs but the RBF with 79% correct classification rate corresponding to 0.191 network error was outperform than others. 相似文献
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风荷载是大跨度煤棚结构设计中的主要控制荷载。随着结构抗风研究尤其是风洞试验数据的积累,结合数据挖掘进行结构智能化抗风设计是一种趋势。基于701组工况4581个柱面及球面屋盖风洞试验样本进行数据挖掘和统计分析,建立了脉动风荷载参数的广义回归神经网络预测模型;通过对12480个工况的单、双层柱面及球面网壳结构进行参数化风振响应分析,总结了等效静风荷载的经验表达式;建立了基于人工神经网络预测气动风荷载的主体结构等效静风荷载的抗风设计基本框架,并通过国内某超大跨度干煤棚张弦结构进行了有效性验证。结果表明:采用本文提出的风荷载数据库预测与等效静风荷载方法效率较高,且能够在一定程度包络风振响应分析结果,可用于结构初步设计阶段对主体结构设计风荷载快速预估。 相似文献
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以BP人工神经网络模型为基础,建立预测模型,以小区某栋建筑物l期~8期的沉降观测数据为输入数据和输出数据,对网络模型进行训练,并对9期~12期实际观测值与预测值进行了比较,结果比较理想,从而验证了采用BP人工神经网络模型进行建筑物沉降的预测是可行的。 相似文献
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针对岩质边坡稳定性分析中存在的问题,提出了运用人工神经网络(ANN)预测岩质边坡稳定性的新方法,并构造了相应的BP神经网络模型。预测结果表明,该模型具有很高的预测精度,能够满足实际工程需要。 相似文献
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利用人工神经网络强大的非线性映射和学习能力,提出了基于人工神经网络的复合地基沉降预测新方法.该方法利用实测资料直接建模,避免了传统方法计算过程中各种人为因素的干扰,所建立的模型预测精度高、简便易行,因此具有广泛的工程实用价值. 相似文献
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In the recent era, piled raft foundation (PRF) has been considered an emergent technology for offshore and onshore structures. In previous studies, there is a lack of illustration regarding the load sharing and interaction behavior which are considered the main intents in the present study. Finite element (FE) models are prepared with various design variables in a double-layer soil system, and the load sharing and interaction factors of piled rafts are estimated. The obtained results are then checked statistically with nonlinear multiple regression (NMR) and artificial neural network (ANN) modeling, and some prediction models are proposed. ANN models are prepared with Levenberg–Marquardt (LM) algorithm for load sharing and interaction factors through backpropagation technique. The factor of safety (FS) of PRF is also estimated using the proposed NMR and ANN models, which can be used for developing the design strategy of PRF. 相似文献