资源列表
Class_9_Code
- 该文件时本人学习遗传算法是 时自己编写的程序代码，适合初学者使用-This file is when I learn to write your own genetic algorithm to optimize neural network procedures, hope that is useful for beginners.
codes
- RBF neural network input node selection method
JRACS
- 基于分割的目标跟踪算法，效果很好，有注释，-Target tracking algorithm based on segmentation, the effect is very good, have a comment,
Modified_Mean_Shift_Tracking
- 尺度方向自适应经典目标跟踪算法，效果很好，有注释，-Scale classical direction adaptive target tracking algorithm, the effect is very good, notes,
CBWH_IET_Computer-Vision
- 经典的目标跟踪算法，基于背景加权，效果很好，有注释，很实用-Classic target tracking algorithm based on the weighted background, the effect is very good, with notes, it is practical
libsvm-3.1
- LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification. Since version 2.8, it implements an SMO-ty
libsvm-3.22
- libsvm-3.22.rar LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification. Since version 2.8, it impl
svmtrain
- Introduction This tool provides a simple interface to LIBSVM, a library for support vector machines (http://www.csie.ntu.edu.tw/~cjlin/libsvm). It is very easy to use as the usage and the way of specifying parameters are the same as that
LDA
- 里面包含了三位老师写的LDA代码，以及中文文档解释LDA的推导，对学习LDA很有帮助-it contains LDA code and documents which writing by three teachers , expecially the Chinese documentation explains the derivation of LDA, which is very helpful
testcc
- LDA亲测可执行C代码 自己新建一个工程，然后把对应的文件拷到工程文件夹下，添加头文件和源文件，进入到lda.cc按F5即可运行-LDA pro-test their new executable C code for a project, then the corresponding file copying project folder, add header and source files, go to press F5 to run lda.cc
neural-network-intrusion
- 用于检测神经网路的入侵问题的源程序代码，另有一些简单的实验结果分析数据-Neural network for the intrusion detection of the source code, and some simple experimental results analysis data
PSO_immu
- 基于免疫的粒子群算法，采用粒子群优化对抗群体进行更新，解决收敛慢的缺点-Particle swarm optimization based on immune, PSO against groups updated address the shortcomings of slow convergence