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edge
函数edge的用法，几个算子的效果比较。(The use of edge functions, comparison of the effects of several operators.)
- 2010-12-30 15:47:49下载
- 积分：1
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identify-system-impulse-response
这是一个m文件，当系统存在噪声时，利用相关分析法辨识系统的脉冲响应，文件中还包含m序列的生成(This is a m documents, when the system involves noise, using the correlation analysis method to identify system impulse response, documents also include m series formation)
- 2012-04-25 11:11:11下载
- 积分：1
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dbn
DBN源码，深度学习领域的适合初学者学习的代码之一，基础必备的内容。(DBN source, depth of learning areas for beginners to learn the code, one basic essential content.)
- 2021-03-14 23:49:23下载
- 积分：1
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plotyyy
matlab本身没有绘制三轴曲线的命令，附件放入matlab命令文件夹中可用plotyyy命令调用(matlab triaxial curve itself does not draw commands into matlab command attachment folder available plotyyy command calls)
- 2014-02-10 10:42:14下载
- 积分：1
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基于前景理论三参数区间灰数
通过matlab实现前景理论三参数区间灰数(Foreground theory, three parameter interval grey number are realized by MATLAB)
- 2020-12-08 15:39:20下载
- 积分：1
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Hamming
本文对汉明分类器进行了介绍，并在matlab中实现了汉明分类器，最后对汉明分类器的结果进行分析(In this paper, Hamming classifier was introduced and implemented in matlab Hamming classifier, the last of the Hamming classifier of the results)
- 2011-05-04 11:10:51下载
- 积分：1
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an-Encyclopedia-of-Matlab-algorithms
matlab算法大全（配备各种数学建模常用算法的matlab程序，适合MCM等各项数学建模比赛）(matlab matlab algorithm Daquan (with a variety of mathematical modeling algorithm commonly used procedures for MCM and the Mathematical Contest in Modeling))
- 2013-02-02 18:13:00下载
- 积分：1
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ATTENUATIONS
matlab file for cample bozorgnaia 2004 attenuation code
- 2013-11-07 16:31:51下载
- 积分：1
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BP.m
在工程应用中 经常会遇到一些复杂的非线性系统, 这些系统状态方程复杂, 难以 用数学方
法准确建模。 在这种情况下, 可以 建立 BP 神 经网 络表达这些 非 线 性系 统。 该方法把未 知 系
统看成是一个黑箱, 首先用 系 统 输入输出 数据 训 练 BP 神 经网 络, 使网 络能 够表达该未 知 函
数, 然后就可以 用训练好的 BP 神经网络预测系统输出 。
本章拟合的非线性函 数为
y = x1^2+x2^2.
。
(In engineering applications often encounter some complex nonlinear systems, which complicated the equation of state, can not be accurately modeled mathematically. In this case, BP neural network can be established to express these nonlinear systems. The method of the unknown system as a black box, the first input and output data with systematic training BP neural network, the network can express the unknown function, then you can use the trained BP neural network forecasting system output. Chapter for fitting non-linear function y = x1 ^ 2+x2 ^ 2..)
- 2014-12-13 21:39:55下载
- 积分：1
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Hypergraph
learning with hyper graphs
- 2015-08-17 00:04:14下载
- 积分：1
