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2009122
- 想加密自己的软件，看过一些软件的作法，思路如下： 1、用户安装后，得出本机的机器码（硬盘的序列号，不想用网卡，因为很多机器没有网 卡）。生成机器码代码 2、用户将该机器码EMAIL给我，我用该机器码生成一个注册码，发送给用户。注册码生成 代码 3、用户在程序中输入该注册码，程序逆算该注册码，与机器码核对，查看是否相符。注册 码逆算、核对代码， 4、如果用户安装后没有得到注册码，在N天后部分功能不可用。不要太容易被改（虽然说 安装后也只有少部份功能能用）。时限功能代
superlu_3.1.tar
- SuperLU is a general purpose library for the direct solution of large, sparse, nonsymmetric systems of linear equations on high performance machines. The library is written in C and is callable from either C or Fortran. The library routines will perf
libsvm
- a Library for Support Vector Machines 支持向量机的公式原理的介绍-a Library for Support Vector Machines SVM principle formula introduced
R-KDDA
- 核直接线性判别方法:图像及高维复杂数据模式识别的利器！内有方法开发的相关文档说明！经典！-The matlab functions implement the methods presented in the paper [TNN_KDDA02.pdf] Juwei Lu, K.N. Plataniotis, and A.N. Venetsanopoulos, "Face Recognition Using Kernel Direct Discriminant Anal
AI
- 6中AI算法，包括路径规划与移动技术、有限状态机，脚本技术，群聚技术，遗传算法，神经网络，每个算法中都有例子程序。-6 AI algorithms, including path planning and mobile technology, finite state machines, scr ipting technologies, clustering techniques, genetic algorithms, neural networks, each algorithm, ther
pptryosu5class2
- 用支持向量机对数据进行分类，每组数据有三个特征值分为五类-Using support vector machines for data classification, each group has three eigenvalues of the data is divided into five categories
svmtoolboxyanshi
- 支持向量机工具箱使用方法演示，讲述如何使用svm的工具箱。-Support Vector Machines to use the toolbox demonstration on how to use the toolbox svm.
SpectrumAnalyzer
- 根据语音频谱分析和频谱图显示的原理与算法，用MATLAB实现一种可在PC机上实现的信号频谱分析与频谱图伪彩色映射显示的方法。-According to voice spectrum analysis and spectrum diagram shows the principle and algorithm, using MATLAB to achieve a realization of machines in the PC spectrum of the signal frequency s
Large_integer_multiplication
- 算法分析与设计——大整数乘法。 计算两个超出机器数表示范围的整数的乘积。-Algorithm Analysis and Design- large integer multiplication. Calculating the number of two machines that go beyond the scope of the product of an integer.
SVM_luzhenbo
- 四种支持向量机用于函数拟合与模式识别的Matlab示例程序，很全面-Four support vector machines for pattern recognition function fitting with Matlab example program, it is a comprehensive
svmopencv
- opecv中支持向量机的编程示例 包括了二维和多维的特征分类的方法-Support Vector Machines in opecv programming examples include two-dimensional and multi-dimensional characteristics of the classification methods
matlab
- MATLAB6.5辅助优化计算与设计,遗传算法在车间布局优化中的应用-We address the two-stage assembly scheduling problem where there are m machines at the first stage and an assembly machine at the second stage.
Poj1022
- 本题写了一个EE3的产品描述，是四维的。确实很难想像清楚。我们这样想就行。它有四个坐标，每一维都可以放上一个立方体，边长为1.然后就是怎么判断是否Inconsistent，有两种情况：1），如题上举的例子，ID为1的在x2坐标上前面是3，那么ID为3的在X2坐标的后面应该是1，否则就Inconsistent。-We usually think that there are three geometric dimensions the fourth dimension is usually ti
Matlab_GUI_svm
- Matlab 编写的一个有关支持向量机的程序，有GUI可以设定参数，和显示最终的结果。-Matlab prepared a procedure for support vector machines, there are GUI, you can set parameters, and display the final result.
OSU_SVM3.00
- 支持向量机可用于数据约简以及分类，它是将原始空间的样本通过非线性映射变换到高维特征空间的方法-Support Vector Machines can be used for data reduction and classification, it is the original sample space through nonlinear mapping transformation to high-dimensional feature space method
GS
- 实现网格中含有依赖任务调度的GS算法，其中根据任务在各个机器上的执行时间和任务之间的依赖关系来计算出任务的调度顺序-The realization of the grid containing the GS-dependent task scheduling algorithm, in which the task in accordance with the implementation of the various machines on time and task-dependent re
SVM_lzb1p0
- 四种支持向量机用于函数拟合与模式识别的MATLAB示例程序.-Four support vector machines for pattern recognition function fitting with MATLAB examples of procedures.
43680540Classification-MatLab-Toolbox
- 利用人工智能算法对数据进行训练，然后模式分类，里面包含支持向量机，聚类，BP网络等许多优秀的算法-The use of artificial intelligence algorithm to training data, and then pattern classification, which includes support vector machines, clustering, BP network algorithm and many other outstanding
svm_light6.02.tar
- 最新的SVM源码，用于数据分类或回归，效果优于神经网络。C的源代码，请尽量在Linux或者Unix下编译。-Source code of SVM in C. SVMlight is an implementation of Support Vector Machines. It solves classification ,regression problems and ranking problems.Please compile it under Linux or Unix.
SupportVectorMachinesClassifierBasedonModifyingKer
- 以黎曼几何为理论依据，基于S.Amari的修正核函数思想提出了两种新的保角变换，用其对核函数进行数据依赖性改进，进一步提高支持向量机分类器泛化能力。以人工非线性分类问题 为对象进行研究，仿真实验结果表明采用新保角映射可以快速显著地改善分类器泛化性能，而且能大幅度地减少支持向量的数目。-Two novel conformal transformations were proposed based on the Riemannian geometry theory and S.Amari’sid