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EmbeddingDimension_FNN
- 假近邻法(False Nearest Neighbor, FNN)计算嵌入维的Matlab程序 文件夹说明： Main_FNN.m - 程序主函数，直接运行此文件即可 LorenzData.dll - 产生Lorenz时间序列 PhaSpaRecon.m - 相空间重构 fnn_luzhenbo.dll - 假近邻计算主函数 SearchNN.dll - 近邻点搜索 buffer_SearchNN_1.dll - 近邻点搜索缓存1 buffer_Search
BFS_DFS_Astar
- Implemented BFS, DFS and A* To compile this project, use the following command: g++ -o search main.cpp Then you can run it: ./search The input is loaded from a input file in.txt Here is the format of the input file: The firs
DS
- DS证据理论中的合成规则的算法实现；该算法对两个基本可信度分配(BPA)的合成规则进行实现，算法包含在DS.h文件中，main.c文件对其进行调用，并对简单示例进行测试。-DS evidence theory in the synthesis of the rules of algorithm the algorithm two basic probability assignment (BPA) to achieve the synthesis rules, the algorithm is
ANN_BP
- BP网络解决异或问题的实例，有初始值和最终结果的显示。本网络结构为三层BP网络，各层神经元个数可变，更改相关#define即可。（注释较详细，主函数中调用的函数和矩阵类都定义在文件function.h中）-BP network to solve XOR problem instance, there are initial values and final results are displayed. The BP network structure for the three-tier net
tony
- 河內塔問題 #include<stdio.h> #include<stdlib.h> int fun_a(int) void fun_b(int,int,int,int) int main(void) { int n int option printf("題目二:河內塔問題\n") printf("請輸入要搬移的圓盤數目\n") scanf("％d",&n) printf("最少搬移的次數為％d
Hop
- C++ Program for Hopfield Network For convenience every C++ program has two components: One is the header file with all of the class declarations and lists of include library files the other is the source file that includes the header file and th
LDPC
- 这是关于LDPC信道编码模块设计的程序 打开源程序，先运行gengrate_h.m程序，陆续将码长设置为756bit，列重设置为3，行重设置为9。在Workspace中同时将H、A、B、C、D、E、Hget、Fget、g、Tget这是个变量选择另存为encode_in.mat 格式。再运行main_encode.m进行编码，主程序运行后，在当前目录下，自动生成编码结果文件“encode—out.mat”，这将作为下一次扩频调制仿真实验的的输入信号。最后分别查看Workspace中的变量s
w-h-02
- 用w-h规则进行网络训练的最主要的程序，很好用很简洁配注释-The main network training program wh rule, very good with the very concise with Notes
DeepLearnToolbox_CNN_lzbV3.0
- CNN - 主程序 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusbergpalm/DeepLearnToolbox 作者：陆振波 电子
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