资源列表
k-means.py
- 通过python实现了k-means分类。(The python implementation of the K-means classification.)
alexnet
- alexnet网络结构，基于python语言下的tensorflow框架(The network structure of alexnet)
psoSVMcgForClass
- 用粒子群寻优SVM，从而实现对分类器的参数实现寻优(pso svmcg for class,abcpso)
chapter1 谢菲尔德大学的matlab遗传算法工具箱
- 谢菲尔德大学matlab遗传算法工具箱用高级语言编写，可以看见算法的源代码，与此匹配先进的数据分析、可视化工具。(The Matlab genetic algorithm toolbox at the University of Sheffield is written in a high-level language. You can see the source code of the algorithm and match this with advanced data analysis
程序
- 一个很有用的巴特沃兹去噪程序，文件为.m文件(Butterworth de-noising program, file as.M file)
ga_TSP
- 动态展示tsp问题求解过程，并给出最优解和平均解(Dynamic display of TSP problem solving process)
nueral_network
- 最基本的神经网络源码，初学者的福利，可以通过此了解神经网络的实现。(The most basic source code of neural network, the welfare of beginners, through which we can understand the realization of neural networks.)
GA
- 遗传算法求解TSP，可以运行，效果好。。(Genetic algorithm for TSP)
RBF神经网络逼近非线性函数
- 利用径向基神经网络逼近非线性函数，MATLAB编程实现，给出训练误差(Radial basis function neural network is used to approximate nonlinear functions. MATLAB programming is implemented to give training error.)
数据挖掘算法知识包
- 一些有关数据挖掘的十种经典算法，还有大数据方面的资料库，有需要可以下载学一下。(Some of the ten classic algorithms for data mining, as well as big data databases, need to be downloaded to learn)
BP神经网络
- 第一个m文件：构造、训练BP神经网络并计算其识别率；第二个文件将进行人脸检测。注意：orl人脸数据库需要在网上下载。(The function of the first m file is to construct and train the BP neural network and calculate its recognition rate. The second is the detection of face. Note: the ORL face database needs to
lfm
- 重叠社区发现LFM算法，基于python实现，导入的文件是lfr基准测试网络，里面写了检测指标，文件可更改，算法通过网络邻接矩阵来实现社区划分(The overlapping community found the LFM algorithm, based on the python implementation, the imported document is the LFR benchmark network, in which the detection index is written