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It is shown by analyzing large test data that the empirical formula presented in the paper has higher linearly dependent coefficient, lower average relative error and relative standard deviation compared with the traditional empirical formula of orthoscopic and power function.

试验数据表明,本文提出的经验公式比传统的直线式和幂函数式经验公式的线性相关系数更高,且平均相对误差和相对标准差都低。

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。

The present work took advantage of IEA to simulate the leaf area index of strelitzia reginae, being one of the tropical plant. A satisfactory result was obtained that the average relative error was 3.44%. Therefore, this kind of simulation would probably give rise to some guiding signification for the planting and manage of Strelitzia reginae.

利用免疫进化算法对鹤望兰叶面积指数进行模拟,平均相对误差为3.44%,取得满意的结果,对鹤望兰栽培管理有一定的实际意义。

In PSFace database with 20 images, the accuracy was 100% and the average relative error was 0.0855. A trapeziform edge information based algorithm for image fusion was used to do frontal nose image mosaic in this paper.

采用了基于边缘信息的梯形无缝融合技术对正面人脸鼻部图像进行替换和融合,获得了正面人脸术后效果预测图。

On the basis of introducing the channel and system model of wireless optical communication,average bit error rate of uncoded and RS coded system with channel side information were analyzed,and compared with Turbo coded system from the following two aspects:received optical power and Log-amplitude fluctuation variance.

在介绍无线光通信信道及系统模型的基础上,推导了无线光通信未编码系统和RS编码系统在已知信道边信息条件下的平均误码率,从接收光功率和对数振幅起伏方差方面对RS码编码系统和Turbo编码系统的性能进行比较。

Through field measurement for the contact pressure of box foundation with Ⅰ shaped plane of a high rise building on cobble subsoil, the distribution law of the contact pressure has been diagrammed. At the same time, the contact pressure has been calculated with finite compression layer model, which is well accordant with the measured result. The relative error of average value for the measured to the calculated contact pressure is 6.9%. This shows that the numerical calculation is right.

通过对西南交通大学某教学楼箱形基础基底反力的实测结果,得出了&Ⅰ&形平面箱基置于密实卵石层上的基底反力分布规律,又用有限压缩层地基模型对该箱基反力进行了计算,结果表明:实测反力与计算反力分布规律一致,实测反力平均值与计算反力平均值相对误差为6.9%,也说明此法计算箱基反力是可行的。

NS2 simulation results demonstrate that the improved algorithm significantly reduce the routing error, and greatly reduce the average time to find a new path after the disjoined path in a large scale MANET of the node while at smaller moving speed.

NS2仿真实验结果表明,在节点移动速度较小的较大规模移动Ad Hoc网络中,改进后的算法明显减少了路由错误,并且减少了路由发生错误后重新找到一条路径所需要的平均时间。

Based on the 3D time-average Navier-Stokes equations, k-ε model was used to simulate the 3D turbulent flow field of whole flow passage in the Francis turbine including guide wickets, runner and draft tube. The energy performance and cavitation performance were predicted from the simulation results, and the calculated data were compared with the results of hydraulic turbine model experiment. The calculation of turbine efficiency and the measured efficiency was very closed and the maximal relative error was 0.9%.

该文基于Navier-Stokes方程和k-ε紊流模型,采用贴体坐标和交错网格系统,用SIMPLEC算法对一模型混流式水轮机引水元件、转轮和尾水管进行了联合计算与转轮单流道计算,数值模拟了水轮机各通流元件内部三维湍流流场,预测了水轮机的能量性能和空化性能,并与水轮机模型试验结果进行了对比。

The simulation results demonstrate that in 500m × 500m × 50m three-dimensional space, 20 anchor nodes are placed randomly with ANR = 4, 97 % of the unknown nodes will be located, and the average location error is only about 20%.

仿真结果表明,在500m×500m×50m 的三维空间内,随机放置20个锚节点,ANR=4 ,就能对97%的节点进行定位,其平均定位误差仅为20%左右。

Based on the conservation law, applying appropriate rezone methods for meshes we modify the 9-point method to reduce computation error due to poor regularity of the meshes and low precision due to the approximation to vertices values by an average of neighboring cell values. The nonlinear system obtained is a different system from the 9-point scheme.

该方法从守恒方程出发,将九点差分格式应用于按某种合适的方式进行重分之后的网格上,减少由于网格正则性差以及网格节点上的物理量采用周围网格量的加权平均等原因所引起的计算误差,得到一个新的但其解仍然逼近原来网格上的物理量的方程组。

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呼气,收缩臀部肌肉;拱起身体,尽量抬起头来,右腿伸直朝向天花板(膝微屈,以避免肌肉紧张)。

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