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ysfz
- 因素复杂网络节点度分布MATLAB程序，很实用，很有用，在具体问题中只需要修改参数就可以使用。-Complex network node degree distribution factors MATLAB program, very practical, useful only in specific issues need to modify the parameters can be used.
scale-free-network
- 复杂网络的一个特征是无标度，该软件提供了一个无标度网络的生成过程-A feature of complex networks is scale-free, the software provides a scale-free network generation process
BA
- 复杂网络BA模型MATLAB 源码，有详细注释-BA model complex networks MATLAB source code, there are detailed notes
11
- 神经网络实例集。包括以下几个程序单层线性神经网络实例、感知器神经元解决较复杂输入向量的分类问题、基于感知器神经网络处理复杂的分类问题、数值分析程序matlab-GUI、用BP网络完成函数的逼近源程序、自组织特征映射应用实例-Examples of neural network sets. Procedures include the following examples of single-layer linear neural network, perceptron neuron input
bianshi2
- 一个复杂系统神经网络辨识,采用改进BP算法对随机噪声的二阶系统进行模型辨识,效果挺好的.-A complex neural network system identification, using BP algorithm to improve the random noise of the second-order system identification model, the effect of the good.
BA
- 这是经典的复杂网络BA模型,可以画出度的分布图。-this is the classic model of complex netwok BA ，you can draw the distribution of degrees.
ws
- 复杂网络中小世界网的生成算法，用FORTRAN语言编写-small-world network
apcluster
- 复杂网络AP算法MATLAB实现，请仔细阅读说明-MATLAB realization of complex networks AP algorithm, please read the instructions
BBV_net
- 复杂网络BBV模型的代码，是自己编写的水平有限请大家见谅-BBV model code of complex networks is their level of preparation of the limited please forgive me
ER
- 复杂网络ER随机网络的C++代码，可求其邻接矩阵和聚类系数-ER random networks of complex networks C++ code, rectifiable its adjacency matrix and clustering coefficient
fuzawangluolunwen
- 复杂网络中最经典的BA无标度网络模型matlab源程序并且有求解度的论文说明-This is papers-weighted network strength and weight distribution are the model of power.
COMPLEXnet
- 复杂网络研究与建模 总起来说这是一个关于矩阵的运算，用到了c语言里面的东西，实现一个矩阵的逆运算和矩阵的转置等，最终实现的是一个初始节点为4个节点的有向图，随即扩展为一个10000*10000的巨型矩阵，得到该有向图的图形， 与计算机图形学类似，该程序是在构建了一个算法后，用MATLAB实现了一个无标度网络的图形中的各个节点的概率密度，并根据各个节点的概率密度绘出该图 -将中文译成英语 And modeling complex networks Collectively t
IntServer
- 复杂网络聚类算法进行文本分析，能够进行关键字的提取和分类功能。-Complex network clustering algorithm for text analysis, to carry out keyword extraction and classification capabilities.