资源列表
graphSearch
- 实现了图的搜索算法，包括深度优先搜索，广度优先搜索，Dijstra算法，A*算法等较典型的搜索算法，同时可以进行图的输入和编辑等操作，仅供大家参考。-achieve the plan's search algorithm, including depth-first search, breadth - first search algorithm Dijstra, A * algorithm is more typical search algorithm, and can map th
programisolationstructure
- program about base isolation structure
sigma_delta
- filter design sigma delta filter-filter design sigma delta filter
Sterren_ASe_Explorer
- A*算法的演示程序，可以自由设置障碍和地形，单步演示A*算法的寻路过程。包含源码，是学习A*算法的最佳工具。-A * algorithm demo program, they can set up obstacles and terrain, single-step demonstration of the A * search algorithm road course. Includes source is studying A * algorithm for the best tools.
AntAnt
- 我根据书上算法自编的蚁群程序，也是我的中期筛选设计。目录下函数收敛图是用了VC的结果，在matlab里画的-algorithm based on the book written by Ant procedures, and also my mid-screening design. Directory function convergence plan is the result of the VC in Matlab Lane painting
SOM_Algorithm
- 不错的自组织神经网络算法，程序有注释。能运行，效果还行。-good self-organizing neural network algorithm, the procedure Notes. Can run, the results were OK.
NN_graduate
- 一个高人的VC实现NN的程序。很不错。先运行Matrixbase.dsw,again arithmetic.dsw, next nnbp.dsw,final neuralNetWork.dsw.-an expert in VC NN procedures. Very good. First running Matrixbase.dsw, again arithmetic.dsw. next nnbp.dsw, final neuralNetWork.dsw.
vc_pso719
- 粒子群算法的示例程序，不错。可用来进行函数优化、神经网络训练等。-PSO algorithm sample program, yes. Available for function optimization, neural network training.
myall_01
- 级联滤波器的优化设计，用于绘制优化滤波器cic 半带-cascading filter optimization design, optimized for mapping CIC half-band filter
BP_Algorithm719
- 网络为３层结构，输入层为６个神经元，隐含层为４个神经元，输出层为１个神经元，当输入层为中心对称样本 1，0，0，0，0，1等时，网络输出为1，否则输出为0。-network of three-layer structure, input layer to six neurons to the hidden layer 4 neurons, the output layer to a neuron, when the input layer to the center symmetry sampl
hufamnCode
- 哈夫曼编码译码的程序，详细大家能用的上。程序里面有注释-Huffman encoding decoding procedures, we can use the details on. There are procedures Notes
haykin_nn
- Simon Haykin的 《Neural NetWorks》例子原码，相当经典。相信很有用，特别SVM PCA等-Simon Haykin "Neural NetWorks" examples of the original code, very classic. I believe very useful, especially in such SVM PCA