搜索资源列表
FMail文件信使 V1.0
- Foxmail 新版中有一个《邮件特快专递》的功能。起先搞不懂如何用,后来知道要在“工具->系统选项”那边设置“本地 DNS 服务器的IP地址”。 觉得这个新功能蛮好用的。不需要通过SMTP代理,可以直接通过本地往邮箱所在的邮件交换器发送邮件。在暑假一开始想在 VC++ 中实现这个功能。用 IRIS 截包后,发现程序中有 mx8.263.net 发送邮箱,不知道这个是什么东西,所以作罢。后来才想到这个就是 263.net 的MX记录主机,原来特快专递的原理就是往这个主机上发送数据就行。
btz_232
- Clock+data serial protocol for PIC16/18F processors. Contains an example application for Zoom/Focus/Iris lens motor control. Written for HiTech C Compiler.
KMedios.rar
- 数据挖掘中 K中心点算法 测试数据为iris 数据库采用sql server 聚类算法,Data mining algorithms in test data for the K center iris database using sql server clustering algorithm
BP_IRIS
- bp神经网络实现iris数据分类,非常好用,,,,,,,,,,,,,,,,,,,matlab-bp neural network to achieve the the iris classification of data, and very easy to use,,,,,,,,,,,,,,,,, matlab
BP_2
- 基于BP算法的iris数据集分类,matlab实现,含注释。-is data set based on BP algorithm, the Matlab implementation, including annotations.
Perceptron
- matlab语言编写的iris数据的单层感知器分类-matlab data written in a single layer perceptron iris classification
KMeans
- 采用C++实现Kmeans聚类算法,距离的计算采用的是欧氏距离。数据集是weka自带的data里面的iris.arff数据集。假设样本所有属性都是数值属性,不考虑分类属性。-C++ implementation Kmeans classic clustering algorithm, the distance is calculated using the Euclidean distance. Data set is data that comes inside weka iris.arff
FCM_iris
- 2. iris鸢尾植物数据 a) 数据集描述:该数据集包含150个实例,属性个数为4,已知分为3类。 b) 参数选择: 聚类数为3 加权指数m=2 最大迭代次数为1000,隶属度最小变化量1e-5 -1. Iris iris plant data A) data set descr iption: the data set contains 150 examples, the number of attribute
ISODATA
- matlab编写的ISODATA算法,实验数据为Iris,代码注释详细,运行良好!-Matlab prepared by the ISODATA algorithm, the experimental data for the Iris code comment in detail, a good run!
BP
- matlab编写的BP神经网络算法,实验数据为Iris和自动生成的异或数据,经调试运行良好!-Matlab prepared by BP neural network algorithm, the experimental data for the XOR data of the Iris and automatically generated by the debugging and running!
perceptron
- matlab编写的感知器算法,实验数据为Iris,运行良好!-Matlab prepared perception algorithm, the experimental data for the Iris, a good run!
KL
- matlab编写的K-L变换算法,实验数据为Iris,分类为BP算法,运行良好!-Matlab prepared by the KL transform algorithm, the experimental data for the Iris classified as BP algorithm, a good run!
rdseedv5.3.tar
- rdseed,读去fullseed格式地震数据的软件,常用于iris下载后数据的读取及转化-rdseed, read go fullseed the format seismic data software commonly used in the iris after downloading data read and transformed
nps20-062306-10
- 做生物识别认证必备文档 指纹数据格式 ANSI-377 ANSI-378 ANSI-381 人脸识别数据格式 ANSI-385 虹膜(视网膜)识别数据格式 ANSI-379 -Essential document identification data format of the fingerprint data format ANSI-377/ANSI-378/ANSI-381 of face recognition data for
KNN
- 模式识别大作业K近邻算法(KNN)C++实现,内有iris和wine数据测试以及其他相关资料。-, Pattern Recognition large job K nearest neighbor algorithm (KNN) C++ achieved within the iris and wine data testing and other relevant information.
Classification
- VC++中实现K近邻分类方法,实验数据是著名的iris数据库,此方法是数据挖掘,机器学习,人工智能等课程中重要的分类算法。-K-nearest neighbor classification VC++, experimental data is the famous iris databases, data mining, machine learning, artificial intelligence courses classification algorithm.
Linear-classification
- 基于感知器算法的线性分类实例,对鸢尾花Iris数据进行两两分类-Linear classification based on perceptron algorithm to the data of Iris
neural-network
- 基于BP神经网络的非线性分类,及运用其解决异或问题,并对Iris数据进行分类-Nonlinear classification based on BP neural network and the xor problem, and its appplication on the data of Iris.
moshishibiesuanfashiyanshuju
- 该数据集中的数据是由鸢尾属植物的三种花——Setosa、Versicolor与Virginica——的测量结果所组成,数据集中共包含150组数据信息,每一类别植物有50组数据。- The data in the dataset is composed of three species of Iris flowers- Setosa, Versicolor and Virginica- consisting of the measurement results, the data set cont
DataSet
- 这是在机器学习、人工智能、数据挖掘中经常用到的数据集,聚类分析也经常用,包括:UCI的数据集wine,yeast,iris等,还有USPS数据集,4k2_far,leuk72_3k数据集等。-This is in machine learning, artificial intelligence, data mining frequently used data sets, cluster analysis are often used, including: UCI datasets wine