TI-Product-Life-Research-Paper.pdf

预测分类，针对目标样本进行训练比对，预测有可能发生的情况(Predictive classification, target training samples compared to predicted situation may occur)

针对C语言环境下的电力系统潮流计算过程中，负责数据输入的子程序。(Power flow calculation for the C language environment in the process, is responsible for routine data entry.)

matlab迭代法代码，很不错，值得看看(iterative method matlab code, very good, worth a look)

balser相机编程，是学习工业相机的范例(Balser camera programming, is to learn the example of industrial camera.)

matlab工具箱，可以实现很多功能。解决许多问题！(The matlab toolbox, can realize many functions. Solve many problems!)

抽象类以及纯虚函数的相关笔记。Figure作为基类，派生出Circle，Square(Abstract classes and pure virtual functions related notes. Figure as a base class, derived Circle, Square)

课程设计 作息时间控制 nimei miiii(Curriculum design schedule control nimei miiii)

说明：  既可以用于高压输电网的潮流解算，又可以用于低压配电网的潮流解算，还可以同时解算输电网 加配电网的混合潮流问题,程序为PQ 分解法.(Both the trend for high-voltage transmission grid solver, but also the trend for low voltage distribution network solver, solver can also increase with the power transmission grid hybrid power flow problem, the program for the PQ decomposition.)

指纹识别源码---matlab版--附图指纹图像(Fingerprint identification source code--- matlab version- attached fingerprint image)

LIBSVM 是台湾大学林智仁 (Chih-Jen Lin) 博士等开发设计的一个操作简单、易于使用、快速有效的通用 SVM 软件包，可以解决分类问题（包括 C- SVC 、n - SVC ）、回归问题（包括 e - SVR 、 n - SVR ）以及分布估计（ one-class-SVM ）等问题，提供了线性、多项式、径向基和 S 形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。(LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.)