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erweiguangzijingti
用于计算二维光子晶体（用于计算二维光子晶体）(Used to calculate the two-dimensional photonic crystals (used to calculate the two-dimensional photonic crystal))
- 2011-05-17 10:58:40下载
- 积分：1
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robot
matlab robotic toolbox的源文件和一份中文简要说明。很实用(a brief description the matlab robotic toolbox source files and a Chinese. Very practical)
- 2012-08-17 10:51:57下载
- 积分：1
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jibenduandianjiance-M
这个文件是语音处理里面的端点检测源程序，可以直接编译运行，效果还比较好(This document is a voice processing of endpoint detection inside source, you can direct the compiler to run, the effect is still relatively good)
- 2008-07-21 13:30:56下载
- 积分：1
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ex8
说明： 用Matlab实现回归分析与检验,并建立其系统界面；对给定的试验数据进行回归分析并作检验(Regression analysis using Matlab implementation and testing, and establish the system interface on a given test data for testing the regression analysis and)
- 2011-03-23 13:55:00下载
- 积分：1
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qiji-eprint-712-vki-dsp-matlab
it is about speech signal processing
and it is so detail.(it is about speech signal processing and it is so detail.)
- 2006-11-02 18:33:43下载
- 积分：1
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SVMNR
支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。
(Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )
- 2021-03-03 21:59:32下载
- 积分：1
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PSOBP
用PSO训练BP神经网络(matlab程序)(With PSO training BP neural network (matlab program))
- 2016-01-21 17:14:09下载
- 积分：1
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equals
对时域均衡进行分析比较，得出较好的编码方案。(equals)
- 2010-12-04 18:51:11下载
- 积分：1
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PCA
PCA:Principal Component Analysis
Usage:
[eigvector, eigvalue] = PCA(data, options)
[eigvector, eigvalue] = PCA(data)(PCA Principal Component Analysis
Usage:
[eigvector, eigvalue] = PCA(data, options)
[eigvector, eigvalue] = PCA(data))
- 2012-06-21 20:29:45下载
- 积分：1
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work
信号功率谱分析，有各种方法，在此一一编写，方法一(Signal power spectrum analysis, there are various methods, in which 11 the preparation of, method 1)
- 2009-10-20 23:02:41下载
- 积分：1
