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CARLA
CARLA算法是由拉夫堡大学的马克·豪厄尔（Mark Howell）在EPSRC的资助下担任博士后研究员时开发的。这些文件是为工作提供的，已经在MATLAB R14中进行了测试。(The CARLA algorith was developed by Mark Howell at Loughborough University while working as a post doctoral research fellow under an EPSRC grant. These files are provided for work have been tested in Matlab R14.)
- 2020-09-18 00:27:55下载
- 积分：1
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模糊聚类信号分选
通过算法实现模糊聚类分选，测试能够正常运行(Fuzzy Clustering Classification by Algorithms)
- 2019-05-09 20:07:01下载
- 积分：1
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LMS&RLS
说明： 该程序为两个简单的传统的自适应波束形成算法，希望对大家有用(The program for two simple traditional adaptive beamforming algorithm, I hope to be useful to you)
- 2020-07-08 19:58:24下载
- 积分：1
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一个BP网络的MATLAB源代码，通过训练学习，进而对目标的预测
一个BP网络的MATLAB源代码，通过训练学习，进而对目标的预测-A BP network of MATLAB source code to learn through training and then on the target forecast
- 2022-01-29 03:28:03下载
- 积分：1
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退火算法求解非线性方程组
matlab实现退火算法求解非线性方程组。(matlab wife of mother)
- 2008-05-06 20:05:39下载
- 积分：1
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homo
同态滤波MATLAB code for beginners that performs Homomorphic filtering, Using Butterworth High Pass Filter for performing filtering.(
Copy the files in your work space
Type "ho_filter" to see the results)
- 2010-12-13 19:57:37下载
- 积分：1
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探讨适合于序列相关数据的动态主元方法（DPCA）方法-DPCAfault1
说明： 为了更好地监视生产过程 ,要求短的采样时间间隔 ,因此序列相关性是实际过程数据普遍具有的特点,探讨适合于序列相关数据的动态主元方法（DPCA）方法是非常必要的。
(In order to better monitor the production process, requiring a short sampling interval, the serial correlation is the actual process data generally has the characteristics of sequence data for the dynamic principal component method (DPCA) method is very necessary.)
- 2020-07-06 18:48:58下载
- 积分：1
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BP-matlab
bp神经网络matlab实现和matlab工具箱使用实例(bp neural network matlab matlab toolbox and use cases to achieve
)
- 2011-12-20 21:00:18下载
- 积分：1
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bianpojiegousheji3
本文基于毕肖普法和蒙特卡洛法,利用MATLAB编程软件计算了边坡结构的失效概率Pf和对应可靠指标β.在计算上述Pf和对应β时,考虑了土体三个主要基本参数(重度γ、内摩擦角(Ψ)、粘聚力c)的随机特性.利用MATLAB程序的计算结果表明,随机变量对边坡可靠度的影响与基本随机参数对抗滑反力的贡献大小有关,即,贡献大的基本随机参数,它的随机波动对结构失效概率Pf的影响也较大,反之亦然.另外,基于MATLAB的算例计算结果还表明:边坡结构失效概率Pf对内摩擦角(Ψ)较敏感,而对重度y和粘聚力c次之.其次,当同时考虑三个随机变量的联合波动对Pf的影响时发现,当它们在小范围内随机波动时,其联合特性对Pf的影响较敏感,但当它们在大范围内随机波动时,Pf主要受敏感随机变量的影响,而三个随机变量联合作用对Pf的影响和敏感随机变量(Ψ)单独作用时相差不大.由此可见,在实际边坡工程可靠性分析中,土体内摩擦角起主要作用,不容忽视.(Based Bishop method and Monte Carlo method, using MATLAB programming software to calculate the failure probability Pf and the corresponding slope reliability index β structure in the calculation of the above Pf and the corresponding β, consider the three main basic soil parameters (severe γ internal friction angle (Ψ), cohesion c) of the random nature of calculation results using MATLAB program shows that the influence of random variables on the reliability of the basic random slope parameters against anti- slip contribution to the size of the force , that is , the contribution the basic parameters of large random , random fluctuations which affect the probability of structural failure Pf is also larger , and vice versa addition, the calculation based on MATLAB numerical results also show that : the structure of slope failure probability Pf internal friction angle (Ψ) more sensitive , while severe and cohesion c y followed . Secondly, when taking into account the impact of the joint fl)
- 2014-01-10 17:36:46下载
- 积分：1
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kalman
kalman滤波器实现目标跟踪，对研究数据融合，目标跟踪有一定的参考价值(target tracking using kalman filter)
- 2014-02-25 23:51:37下载
- 积分：1
