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error model相关的网络例句

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The major achievement of this paper is: Based on characteristics of the traffic data distribution, execute pattern recognition operations on traffic condition on two dimensions by clustering, then use BP neural network to describe and forecast traffic flow aiming at each pattern. Making use of classic flow-occupancy inverse "V" model, implement polynomial fitting using least-squares algorithm and statistics method on flow curves to detect outliers which are proved to be not accord with practice through the actual implement, then use the moving average model to recorrect the outliers and absent. Make correlation analysis on muti-direction flow queues of the intersection and ones of upriver intersections, choose flow queue with high correlation as assistant one to improve the error tolerance of the prediction system, at the same time we can use the method to give an estimation of flow in intersection with out sensors. We design and implement an SOA(Service-Oriented Architecture)-based UTDD(urban traffic data mining development) with high expansibility and performance, which implement unified management and call of the data-mining application though defining a XML-based description of data-mining process and a common interface to call data-mining process, finally we build traffic flow prediction application model on UTDD.

根据交通流量数据分布的特征,提出基于k-means的二次聚类方法,对交通流量在流量大小和时间上进行模式划分,进而对各个交通流模式进行基于BP神经网络的描述和预测,从而提高模型对流量预测的精度; 2)根据流量/时间占有率倒&V&字形曲线分布模型,提出基于最小二乘法的三次多项式曲线拟合和统计方法的异常检测方法,实际应用表明该方法能够有效识别异常数据,然后根据移动平均算法对异常数据进行修正; 3)基于序列相关性分析,分别对预测方向的交通流量数据序列、上游路口相关序列以及预测路口其它各个方向上的交通流量序列进行分析,选择相似性流量序列,作为辅助序列提供其他没有检测器路口的流量估计; 4)设计和实现了基于SOA(Service-Oriented Achitecture)的高性能、可扩展的智能交通数据挖掘系统UTDD,该系统通过定义基于XML的数据挖掘过程描述和通用的过程模型接口,实现数据挖掘应用的统一管理和调用,最后在UTDD上建立了基于路口流量预测的应用模型。

Finally the combined model of positioning error series is proposed.The combined model syncretizes the characteristics and advantages of the three modeling methods effectively,and offsets the shortage of a single model.

组合模型融合了各种基本建模方法的特色与优势,弥补了单个基本模型的缺陷与不足,有效提高了定位误差序列的预测准确度。

To aim directly at causality between export commodity using composition and economic development in China, differences of element input caused by appreciation of RMB, relationship between productive efficiency of trade department or not and exchange rate, and effect of every factor to micro commodity these problems, the paper applied econometric models such as vector auto regression, vector error correction model, varying parameter model and panel data model to expose contact between varied export commodity composition and different economic variables.

针对商品使用结构与中国经济发展的因果关系、人民币升值造成中国出口商品要素投入的差异、贸易和非贸易部门的生产率同汇率的关系、各影响因素对微观出口商品的影响四个相关问题,利用向量自回归、误差修正、变参数模型和面板数据模型等计量经济模型揭示不同类型的出口商品结构与各经济变量间的联系。

By combining model reference adaptive control and neural network control ,a novel model reference adaptive neural network control scheme is proposed for the ship steerings nonlinear model.In the procedure ,the RBF neural networks are used to approximate nonlinear systems;The weights can be achieved by use of Lyapunove approach.To compensate the approximation error and attenuate the external disturbance,a robust technology is introduced to the proposed scheme.

针对船舶航向非线性不确定系统,提出了一种把神经网络和模型参考自适应控制结合在一起的新的控制算法,此算法首先通过系统的已知动态特性设计一个稳定的反馈控制器,然后利用RBF神经网络逼近未知非线性,从而消除不确定性的影响。

The empirical results indicate that the method based on neural networks excels the BS model in interpretive capability, error degrees and hedging efficiency. It means that in the Taiwanese warrant market, neural networks with self-evolving genetic algorithms can provide a more accurate and stabler model on pricing and hedging than the BS model.

研究结果显示,类神经网路模型针对台湾已到期之十五档认购权证,不论在评价上之解释能力与误差程度,或在避险效果上均优於BS模型,即表示在台湾认购权证市场中,基因演算法自动演化之类神经网路能提供一个比BS模型更接近市场价格,以及更能替发行者规避暴露风险的模型。

The article elaborates the basic theory and mathematics model of ablating cornea by Excimer Laser, makes out the model which partition the cornea ablation area to 30 or 60 ablating circles, and arrives at the error of real calculation corve and academic model curve by comparing a with them under the help of MATLAB software, achieves the success of coney experiment and blind eyes' experiment, thus establishes the clinical experiment basis of cornea ablation in advance.

文章论述了准分子激光消融眼球角膜的基本原理和数学模型,提出了把角膜治疗区域有目的地划分成30个或60个消融道的模式,通过MATLAB软件把理论计算曲线和实际模型曲线进行比较,得出它们的消融误差,并且成功进行了动物实验和盲眼实验,提前为角膜屈光的临床实验奠定了基础。

Series of criterion of evaluation is put forward and test and evaluation platform of tactical unit is established, including air strike model,measurement error model and evaluation arithmetic model.

提出了评估指标体系,建立了测试与评估试验台,其中包括空袭模型、测量误差模型、评估算法模型等,并在此基础上通过模拟典型空袭模式给出部分评估结果。

Based on the study of the system model in different flight conditions, and by use of real-time compensation in inertial guidance, a method is put forward for selecting the error compensation model and the model of compensation evaluation based on the engineering background.

通过研究飞行工作环境变化导致的系统模型差异,结合惯性制导实时补偿方法,提出了基于工程背景的误差补偿和补偿评估模型的选取方法。

The result showed that the maximum relative error of this model was 8.40%, the maximum absolute error was 0.286 8 kJ/.

结果显示:该模型的最大相对误差为8.40%,最大绝对误差为0.286 8 kJ/。

According to the theory of electromagnetic field and the theory of error a nalysis,the far field condition for antenna test is discussed,the influence of limited test distance on antenna far field measurement in a microwave anechoic chamber is analysed, and the error model is established.

利用电磁场和误差分析理论,在阐述天线远场测量条件的基础上,分析了微波暗室有限测试距离对天线远场测量的影响,建立了误差模型,并结合实例说明了微波暗室有限测试距离对天线场强测量、增益测量的影响。

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