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Wiley__Practical_Genetic_Algorithms__2004__2Ed__O
it is a book for learning practical genetic algorithm in matlab
- 2013-07-09 17:04:32下载
- 积分：1
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fault-analysis
IT IS MATLAB FILE FOR FAULT ANALYSIS IN POWER SYSTEM
- 2015-02-18 17:40:10下载
- 积分：1
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liefie
主要为数据分析和统计，用谱方法计算流体力学一些流动现象的整体稳定性,最小二乘回归分析算法。( Mainly for data analysis and statistics, Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, Least-squares regression analysis algorithm.)
- 2016-04-28 20:50:48下载
- 积分：1
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rbf
1、NeuralNetwork_RBF_Classification.m - 分类
2、NeuralNetwork_RBF_Regression.m - 回归">
- 2009-01-16 22:35:25下载
- 积分：1
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1234
人脸的面部特征提取，有很好的效果，直接解压就可以使用(Face facial feature extraction, have very good effect, direct decompression can use
)
- 2012-04-26 16:04:15下载
- 积分：1
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aa
说明： 例子群优化的一个的简单小程序，是利用matlab写的。(Swarm optimization example of a simple small program, was written by matlab.)
- 2015-01-14 10:59:38下载
- 积分：1
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ssnnrr
it is matlab code on spectrum sensing in cognitive radio network using matched filter
- 2013-11-20 14:23:23下载
- 积分：1
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ball-and-beam-lqr
lqr regulator,and lmi forumalation using lyapunov stability theory - ball and beam
- 2015-03-20 21:06:05下载
- 积分：1
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Minimum-Risk-Bayes-classifier
这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下，自行完善了在一定先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。
全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。
调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度函数。
调用最小风险贝叶斯分类器决策子函数时，根据先验概率，再根据自行给出的5*5的决策表，通过比较概率大小判断一个体重身高二维向量代表的人是男是女，放入决策数组中。
主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件，并调用最大似然估计求取概率密度子函数，对分类器进行训练。第二步打开“test2.txt”，调用最小风险贝叶斯分类器决策子函数，然后再将数组中逐一与已知性别的数据比较，就可以得到在一定先验概率条件下，决策表中不同决策的错误率的统计。
(This is a pattern recognition classifier minimum risk Bayes design .In reference to the case of routine , self- improvement in a certain a priori probability conditions, male , female and total error rate error rate statistics , into which each array .
All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions .
Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector The third step is the application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function .
Bayesian classifier )
- 2012-02-02 20:37:04下载
- 积分：1
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Desktop
说明： 第 5 代移动通信系统 (5G) 是面向 2020 年之后的新一代移动通信系统 , 其技术发展尚处于探
索阶段 . 结合国内外移动通信发展的最新趋势 , 本文对 5G 移动通信发展的基本需求、技术特点与可
能发展途径进行了展望 , 并分无线传输和无线网络两个部分 , 重点论述了富有发展前景的 7 项 5G 移
动通信关键技术 , 包括大规模天线阵列、基于滤波器组的多载波技术、全双工复用、超密集网络、自
组织网络、软件定义网络及内容分发网络 . 本文还概括性地介绍了国内 5G 移动通信的相关研发活
动及其近期发展目标 .(The fifth generation mobile communication system (5G) is a new generation of mobile communication system after 2020. Its technological development is still in the exploratory stage. Combining with the latest trends of mobile communication development at home and abroad, this paper prospects the basic needs, technical characteristics and possible development ways of 5G mobile communication development, and divides wireless transmission and wireless network into two parts, focusing on rich. Seven key technologies of 5G mobile communication, including large-scale antenna array, filter bank-based multi-carrier technology, full duplex multiplexing, ultra-dense network, self-organizing network, software definition network and content distribution network, are prospected. The related research and development activities and recent development goals of 5G mobile communication in China are also briefly introduced in this paper.)
- 2019-06-27 14:43:01下载
- 积分：1
