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IntroductiononFactorGraphs
- 因子图的介绍，属于最新的图形应用，很长有用的。用于译码以及一些神经网络之类。-Factor graph presentation, is the latest graphics applications, a very long useful. And some neural network for decoding and the like.
topo2RED
- This scr ipt give u the performance analysis to 3 congestion control algorithm Tahoe,Reno and Vegas with the help of x-graph using RED queue mechanism on sample network topology.
Dijkstra
- 图与网络论中求最短路径的Dijkstra算法 M-函数 格式 [S,D]=minroute(i,m,W) i为最短路径的起始点,m为图顶点数,W为图的带权邻接矩阵， 不构成边的两顶点之间的权用inf表示。显示结果为：S的每 一列从上到下记录了从始点到终点的最短路径所经顶点的序号； D是一行向量，记录了S中所示路径的大小 -Graph and network theory Dijkstra' s shortest path algorithm M-functio
Shortest-Path-Based-on-Delay-PCNN
- 本文在脉冲耦合神经网络(PCNN2Pulse Coupled Neural Network) 的基础上,提出了时延脉冲耦合神经网络 (DPCNN2Delay PCNN) ,并将其成功地用于求解最短路径,同时给出了基于DPCNN 的最短路径求解算法. Caulfield 与 Kinser 提出了用PCNN 求解迷宫问题的方法,虽然他们的方法也可用于求解最短路径,但所需神经元的数量巨大,而本 文的方法所需的神经元的数量远小于他们的方法. 同时,本文的方法充分利用了DPCNN 脉冲快速并
networks1
- 随机网络学习笔记，中间有基本的随机图，规则图，以及其他图的生成代码-Random network learning notes, and there is a basic random figure, rules figure, and other graph generating code
networks2
- 随机网络学习笔记，中间有基本的随机图，规则图，以及其他图的生成代码-Random network learning notes, and there is a basic random figure, rules figure, and other graph generating code
networks3
- 随机网络学习笔记，中间有基本的随机图，规则图，以及其他图的生成代码-Random network learning notes, and there is a basic random figure, rules figure, and other graph generating code
networks4
- 随机网络学习笔记，中间有基本的随机图，规则图，以及其他图的生成代码-Random network learning notes, and there is a basic random figure, rules figure, and other graph generating code
trilearn_base_sources-3.3
- The use of BP neural network to achieve c++ Algorithm, with detailed examples and results of analysis, as well as the effect of graph algorithms
Efficient-graph-based-imag
- 模糊神经网络代码,通过测试可用,算法效率好-Fuzzy neural network code
netplot
- 复杂无向图网络绘图，包括处理邻接矩阵和关联矩阵，具体使用方法可以通过help netplot查询。-Complex network undirected graph drawing, including processing adjacency matrix and incidence matrix, the specific method of use can help netplot queries.
complex-network
- 采用随机图生成无标度网络的算法，返回值是无标度网络的的连接矩阵和度分布，比较实用。把代码拷贝到matlab环境下就可以用。-Using an algorithm to generate random graph scale-free networks, the return value is the connection matrix and the degree of scale-free networks of distribution, more practical.
MLP.tar
- A multilayer perceptron (MLP) is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate outputs. A MLP consists of multiple layers of nodes in a directed graph, with each layer fully connected to the next
MLP
- A multilayer perceptron (MLP) is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate outputs. An MLP consists of multiple layers of nodes in a directed graph, with each layer fully connected to the nex
BayesKit
- 贝叶斯网络，又称信念网络(Belief Network, BN), 或有向无环图模型，是由一个有向无环图(DAG,Directed acyclic graphical model)和条件概率分布(即知道P(xi|parent(xi))发生的概率构成，其中parent(xi)为指向xi的直接父节点)。它是一种模拟人类推理过程中因果关系的不确定性处理模型，其网络拓朴结构是一个有向无环图(DAG)。(Bayesian networks, also known as belief networks (B
gated-graph-neural-network-samples-master
- 此代码是门控图神经网络的python代码实现(This code is a Python code implementation of the gating graph neural network)
GraphWaveletNeuralNetwork-master
- 图小波神经网络(GWNN)，一种新的图卷积神经网络(CNN)，利用图小波变换来解决以往光谱图CNN方法依赖于图傅立叶变换的缺点。(graph wavelet neural network (GWNN), a novel graph convolutional neural network (CNN), leveraging graph wavelet transform to address the shortcomings of previous spectral graph CNN met