资源列表
gatbx
- matlab里的gatbx遗传算法工具箱，内有使用说明.适用于寻找最优点及支持向量机和神经网络的参数优化。-the gatbx genetic algorithm toolbox in matlab, with instructions for use. applied to find the most advantages and parameter optimization of support vector machines and neural networks.
svm
- svm安装包，matlab的svm安装包，支持向量机-svm pakage
BP_XZX
- 采用matlab语言，但不是采用其神经网络工具箱开发的BP人工神经网络程序，原始底层代码，对于想利用其它语言开发商业软件的网友可先学习本代码，然后可方便转写。-Using matlab language, but not using its neural network toolbox developed by BP artificial neural network program, the original low-level code, use of other languages who
blinkdetect-src
- 眨眼检测，先用haar特征框定人脸，然后用camshift跟踪人脸，根据几何特征得到人眼的大概位置，然后根据直方图的变化检测眨眼-Blink detection, the first feature with the haar framed face, and then use camshift tracking human face, according to the geometric features are the approximate location of the human ey
EliminateGrossErrors
- 去除粗大误差,很好的各种误差分析和过滤程序-Removal of gross errors, a good variety of error analysis and filtering procedures
力学与C语言的结合。
- 关于有限元
ada
- 基于BP_Adaboost的强分类器设计-公司财务预警建模，基于神经网络的matlab参考代码。-Strong classifier based on BP_Adaboost design- the company' s financial early warning model, based on neural network matlab reference code.
DotNET2008BasedSVM
- 支持向量机用于遥感影像分类，是一种高效、高精度的人工智能分类算法-SVM is a powerful classification algorithm
wlcg
- 基于蚁群算法的配电网重构程序,花了我好长时间编的-Ant colony algorithm based distribution network reconfiguration process, it took me a long time series of the
svm-EM
- SVM(支持向量机）和EM（最大熵）文本分类算法，压缩包中包括了测试文本（环境类和计算机类），词典，停用词表等。-SVM (support vector machine) and EM (maximum entropy) text classification algorithm, compressed package includes test text (environmental and computer), dictionary, thesaurus, such as disabled.
C
- BP神经网络 学习 毕业设计用源代码 使用C编程，使用bp神经网络matlab工具箱-BP neural network learning graduate design program with source code using C, use of bp neural network toolbox matlab
Parzen_Window
- 模式识别中Parzen窗函数的实现，模拟对二维高斯分布的非参估计。窗函数有三种：高斯窗、指数窗、方窗-Pattern Recognition Parzen window function of the realization, simulation of two-dimensional Gaussian distribution is estimated non-participation. There are three window function: Gaussian window, th