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感知器的demo,批处理模式识别作业type.typically有用
感知机算法演示程序,批处理。用于模式识别课程作业-perceptron demo,batch type.typically useful to Pattern Recognition homework
- 2023-04-16 14:05:04下载
- 积分:1
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kalman滤波,能够读取数据样本,并对下一数据进行滤波
kalman滤波,能够读取数据样本,并对下一数据进行滤波-kalman filtering, be able to read data samples, and the next data filtering
- 2022-02-01 05:55:34下载
- 积分:1
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词法分析器
实现编译系统的词法分析功能,是后续语法分析,语义分析的基础和重要环节。
- 2022-02-24 11:27:50下载
- 积分:1
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这是我从网上找到的阴历算法,出于对原作者的尊重,代码里的各内容多于保留。...
这是我从网上找到的阴历算法,出于对原作者的尊重,代码里的各内容多于保留。-This is what I found in the lunar calendar online algorithm, based on the original author of respect, the code"s content than reservations.
- 2022-10-04 12:00:03下载
- 积分:1
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使用RSA数字签名
//Rivest,Shamir,Adelman(RSA)#include#include#include#include#include#include#includeint enumber(char);char denumber(int);int CK_PRIME(long int);long int Get_GCD(long int,long int)
- 2022-01-22 03:04:32下载
- 积分:1
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C4.5 is a simplified version of the Decision Tree Algorithm
C4.5的简化版本是一个决策树的算法-C4.5 is a simplified version of the Decision Tree Algorithm
- 2022-01-22 07:48:49下载
- 积分:1
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32 bits CRC算法演示,用户可以选择输入一个文件,本工具根据循环雍余校验算法,生成并显示出其32位计算结果。...
32 bits CRC算法演示,用户可以选择输入一个文件,本工具根据循环雍余校验算法,生成并显示出其32位计算结果。-32 bits CRC algorithm demonstration, a user could choose to import a document, the tools under the revolving Yong I checksum algorithm for generating and demonstrated its 32 results.
- 2022-06-18 05:24:02下载
- 积分:1
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蓝牙技术综述
资源描述摘要:概要性地介绍了目前国际上最新的短程无线通讯技术———蓝牙技术,并且介绍了蓝牙
技术之相关技术、应用领域、发展现状及前景。
关键词:蓝牙技术;无线通信;网络
中图分类号:&’(% 文献标识码:) 文章编号:"##(—%**%(%##")"#—##+!—#%
- 2023-06-11 11:10:02下载
- 积分:1
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bp网络分类验证
数据来源机器学习数据集,数据经过归一化处理,网络结构为7-7-3的网络。利用5折-交叉验证,做的三类分类代码,分类精度极高。
- 2022-07-07 12:34:16下载
- 积分:1
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k-means 算法的工作过程说明如下:首先从n个数据对象任意选择 k 个对象作为初始聚类中心;而对于所剩下其它对象,则根据它们与这些聚类中心的相似度(距离),分别将它们分配给与其最相似的(聚类中心所代表的)聚类;然后再计算每个所获新聚类的聚类中心(该聚类中所有对象的均值);不断重复这一过程直到标准测度函数开始收敛为止。-k-means algorithm process as follows: First of all, the object data from the n choose k object as initial cluster centers and the remaining for the other object, then according to their cluster center with those of the similarity (distance) respectively assigned to them with the most similar (represented by cluster center) clustering obtained and then calculated for each new cluster center clustering (all objects in the cluster mean) repeated this process until the standard measure of function until the beginning of convergence.
- 2023-07-14 07:15:02下载
- 积分:1