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zhangzhixing
张智星教授的数据聚类和模式识别MATLAB工具箱。(MTALAB)
- 2010-07-21 14:49:09下载
- 积分：1
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crystal_process
对工业生产过程结晶过程的一个仿真程序软件包，具体描述可以参见文献"Advanced control of crystallization processes"。(on industrial production process of a crystallization process simulation program package, specific description can be found in the literature "Advanced control of crystallizat ion processes. ")
- 2006-12-26 21:45:37下载
- 积分：1
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AGuideToMATLABOOProgramming
说明： 电子书：使用Maltab进行面向对象的编程(A Guide To MATLAB OO Programming)
- 2009-08-07 22:25:16下载
- 积分：1
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traffic
Traffic Control System Model in Matlab
- 2013-08-22 18:14:37下载
- 积分：1
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pid
基于二进制编码的遗传算法PID参数整定,示例(Based on the binary-coded genetic algorithm PID parameter tuning)
- 2013-10-20 10:19:47下载
- 积分：1
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71477209DTMFAPPLIY
this is matlab code for image and signal processing
- 2009-05-06 21:17:27下载
- 积分：1
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randomsingal
随机信号 频谱分析 随机信号 频谱分析 随机信号 频谱分析 随机信号 频谱分析随机信号 频谱分析(Spectral analysis of random signalsSpectral analysis of random signalsSpectral analysis of random signalsvSpectral analysis of random signalsv)
- 2010-05-12 20:56:14下载
- 积分：1
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Circular-Array_12310002
functions of a circular array
- 2015-03-31 11:35:26下载
- 积分：1
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common_near_addwindow
实现近场波束形成，主要的还有加窗的功能，希望大家交流一下，其他的都不说了 ，近场波束和加窗(Achieve near-field beamforming, the main window also add features, I hope to share what the other did not say, near-field beam and windowing)
- 2020-11-18 10:29:39下载
- 积分：1
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anp
NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法，它是在网络分析法（AHP）基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个：
1 确定因素，并建立网络层和控制层模型。
2 创建比较矩阵。
3 按照指标类型针对每列进行规范化。
4 求出每个比较矩阵的最大特征值和对应的特征向量。
5 一致性检验。如果不满足，则调整相应的比较矩阵中的元素。
6 将各个特征向量单位化(归一化)，组成判断矩阵。
7 将控制层的判断矩阵和网络层的判断矩阵相乘，得到加权超矩阵。
8 将加权超矩阵单位化(归一化)，求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。
(NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following:
A determining factor, and a network layer and control layer model.
2 create a comparison matrix.
For each of the three types of indicators in accordance with normalized columns.
4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors.
5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements.
6 will each feature vector units of (normalized), to determine the composition of matrix.
7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix.
8 of the weighted super-matrix units of (normalized), seeking the powe)
- 2010-01-28 09:36:45下载
- 积分：1
