基于matlab的环境数据曲线拟合在某子母弹引信机构仿真中的应用

以某子母弹为对象 ,分别论述不同的离散曲线的解析式近似表达方法 ,最后以不同方法的拟合结果作为仿真模型的输入 ,得到仿真结果进行分析     

支持向量机回归模型在径流预测中的应用

为了探索提高径流中长期预测精度的有效途径,尝试建立了基于支持向量机的径流预测模型,并应用于西江流域梧州站的年、月径流预测中,取得了很好的效果。并与神经网络预测进行对比,结果表明该模型的预测精度要高于人工神经网络模型。     

Shape optimization of inclined ribs as heat transfer augmentation device

This work presents numerical optimization techniques for the design of a rectangular channel with inclined ribs toenhance turbulent heat transfer.The response surface method with Reynolds-averaged Navier-Stokes analysis isused for optimization.Shear stress transport turbulence model is used as a turbulence closure.Computational re-sults for local heat transfer rate show a reasonable agreement with the experimental data.Width-to-rib height ratioand attack angle of the rib are chosen as design variables.The objective function is defined as a linear combina-tion of heat-transfer and friction-loss related terms with the weighting factor.Full-factorial experimental designmethod is used to determine the data points.Optimum shapes of the channel have been obtained in a range of theweighting factor.     

Hypergeometric Functions and Parabolic Partial Differential Equations

We investigate the summability of formal power series solutions of parabolic linear partial differential equations with exponential coefficients.2000 Mathematics Subject Classification. 35C10, 35C20.This research was supported by a Marie Curie Fellowship of the European Community program Improving Human Research Potential under contract number HPMF-CT-2002-01818.     

TDB－100硅太阳电池仿真及P－V特性研究

采用多项式数学模型对ＴＤＢ－１００硅太阳电池实测Ｉ－Ｖ数据进行拟合，可得到电池的实验模型，该模类具有很高的精度。运用这个模型对Ｐ－Ｖ特性进行分析，并根据电池的光照及温度特性，将该模型进行扩展，得到了电池的预计模型。     

任意浓度下活度系数的计算

根据实验所测有关电解质溶液的活度系数,确定其数学模型为γ=e~(a bm cm~2 d/m)。利用最小二乘法建立了1∶1型电解质活度系数与浓度之间的函数关系式,从而通过此关系式可对任意浓度下1∶1型电解质的活度系数进行预测,其相对误差不超过2.6％。     

局部多项式回归的图像重建改进

针对随机取样产生的低分辨率图像的分布特性,在局部多项式回归的数学模型下,利用经典核回归方法重建图像的过程中,引入与取样窗范围内随机取样像素点数目相关的权重项。改进的权重函数同时受取样窗范围的控制,更具适应性,利用可控核回归方法引入局部方向信息提高重建图像的局部结构特征。仿真结果表明,改进后的方法不仅提高了重建图像的分辨率,而且降低了重建图像的均方误差。     

基于改进LSSVM的城市轨道交通供电故障诊断方法

小样本条件下供电系统故障快速诊断是保证城市轨道交通安全稳定运行的保证.文中提出了一种基于量子粒子群优化最小二乘支持向量机(LSSVM)的供电系统故障诊断方法.该方法首先基于主成分分析提取能够表征系统运行状态的特征参数,并降低数据维数.然后利用LSSVM构建小样本故障诊断模型,通过量子粒子群算法对LSSVM模型参数进行优...     

发电机的静态稳定边界与低励限制

本文提出了适合于一般情况的发电机安全运行静态稳定边界的确定方法,及其相应的适用于微机励磁调节器的低励限制计算新方法。     

Performance Analysis of the Spectral Correlation Discriminator Array

Mobile communications suffer from cochannel interference, adjacent channel interference and fading. The cell capacity or the number of users per cell is limited by the interference. In this paper we analyze a new blind adaptive array structure called the spectral correlation discriminator array (SCDA), designed to reject cochannel interference for advanced mobile phone service (AMPS) signals. The blind adaptive array exploits the spectral redundancy in the AMPS signals which arises due to the presence of the supervisory audio tone (SAT). SCDA is shown to provide an improvement of 25–30 dB in signal-to-interference plus noise ratio (SINR) in static multipath channels and 10–15 dB improvement of SINR in Rayleigh fading channels. The SCDA is compared to the least squares constant modulus array (LSCMA) and is shown to have better signal selectivity properties. The reduction in interference power can significantly reduce the frequency reuse factor.