射线反演

Flash+XML带图片的动画菜单（含源文件），鼠标无动作时会自动播放，也可鼠标点击播放。垂直型的网页菜单。

Cats是一个使用最大似然估计来使用多参数的时间序列（比如：连续的GPS）。该程序同时估计所有参数，但是分两部分来估计速度，线性部分包括一个offset and slope，突变（as form earthquakes）、正弦部分（包括年周期和半年周期），而非线性负分包括几个不同的噪声模型及其组合。(Cats is a time series (e.g., continuous GPS) using multiple parameters using maximum likelihood estimation. The procedure to estimate all parameters simultaneously, but is divided into two parts to estimate the speed of the linear part includes a offset and slope (as form earthquakes), mutation, sinusoidal components (including annual and semiannual period), and the nonlinear negative consists of different noise models and their combination.)

说明：  Qualify 2D尺寸自动化检测，Qualify是一款逆向工程软件。在测量行业运用测量轮廓度尺寸非常好用。可给客户出具只管的比对报告(Qualify 2D dimension automatic detection, Qualify is a reverse engineering software. It is very useful to measure profile size in measurement industry. Contrast reports can be issued to customers.)

一个对driverstudio工具开发包的详细介绍(A tool kit driverstudio detailed introduction)

包括常用的函数（三角函数、反三角函数、双曲三角函数、绝对值.......），甚至是 一些复杂无比的表达式也能计算，如：ln e + rnd(2) + 3(2)4 * (log(tan (itan 1))) 等。值得一提 的是，它还有函数绘图、数据统计和自定义常数等功能。另外，程序经过我汉化（仅在界面上），更易 懂。-Including the commonly used functions (trigonometric, inverse trigonometric functions, hyperbolic trigonometric functions, absolute value .......), even extremely complex expressions can be calculated as: ln e+ rnd (2)+ 3 (2) 4* (log (tan (itan 1))) and so on. It is worth mentioning that it also has the function mapping, data statistics, and custom constants and other functions. In addition, the program after I finished (only at the interface), more understandable.

该程序是平方根ukf，效果很好，可以运行。(square root ukf, high effectiveness. used and proved to work out well)

光谱信号通用的平滑去噪算法，易学易用，是MATLAB文件(Spectral signal universal smoothing denoising algorithm, easy to learn and easy to use, is the MATLAB file)

说明：  (ZSI)Z SOURCE INVERTER SIMULATION MODEL

OKA磨损模型的UDF，在fluent中采用编译型UDF加载(User defined function of OKA erosion model)

关于关联向量机应用的最新文献！ 提出了一种核主元分析(KPCA)和关联向量机(RVM)相结合的组合建模方法。KPCA-RVM采用KPCA对原始自变量进行非线性变换并提取主成分,形成特征自变量 采用RVM,对KPCA变换后的样本数据进行回归建模,并根据模型的预报能力自适应的确定参与回归的最佳特征变量个数,消除冗余信息干扰,获得强非线性表达能力且预报性能良好的模型。并将KPCA-RVM应用于PTA装置对羧基苯甲醛(4-CBA)含量的软测量建模,结果表明该方法预测精度高于PCA-RVM和RVM。(A novel modeling method integrated KPCA with RVM was proposed. The kernel primary component analysis (KPCA) was employed to identify the principal components from the nonlinear transform data of independent variables, which were regarded as character variables. Regression between character variables and dependent variables was done based on RVM, and the optimal number of the character variables was adaptively determined according to the generalization performance of the regression model. Thus, KPCA-RVM meth...)