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matlab
matlab的中文帮助，一些很基本的东西，但是还是挺有用的。(Chinese matlab help, some very basic things, but still quite useful.)
- 2009-06-16 17:01:11下载
- 积分：1
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calculatecorrelationdimention
采用MATLAB编程用GP方法计算关联维的源代码(MATLAB programming method used GP correlation dimension of the source code)
- 2006-12-11 21:04:05下载
- 积分：1
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fuzzyPIDmotor
基于电流滞环的模糊PI控制的异步电动机的SIMULINK仿真代码(Fuzzy PI control hysteresis current induction motor SIMULINK simulation code)
- 2021-04-12 23:58:56下载
- 积分：1
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robert
使用robert算子 寻找图像边界的方法 解决的是一道国赛的题目 找圆心给出坐标(find the edge of some part of pictures by using robert method the code solves a problem of finding the centre of circle in CUMUM )
- 2012-02-09 19:23:37下载
- 积分：1
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dijkstra
Dijkstra routing algorithm example
- 2014-02-13 18:36:29下载
- 积分：1
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ccsystems2e_Chapter04
现代通信系统（matlab版）（第二版）配套源代码
John G. Proakis等著 刘树棠 译 电子工业出版社出版(modern communication system (Matlab version) (2nd Edition) source code supporting John G. Proak Liushutang is waiting for the translation of the electronics industry published)
- 2007-05-17 21:21:08下载
- 积分：1
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Minimax
A simple implementation in C language of the Minimax algorithm.
/! Code is commented in french.
- 2015-04-07 05:47:48下载
- 积分：1
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transrail
城市轨道交通客流需求预测模型，非集计思路(Urban rail transport passenger demand forecasting model, non-collection design ideas)
- 2011-07-14 16:15:38下载
- 积分：1
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Triangle_for_EM_EXPLORATION
说明： 用c语言和matlab编写的、自动生成非结构化三角网格剖分的程序，用于地球物理勘探中的大地电磁、海洋可控源二维正演模拟。(Triangle.m is a MATLAB graphical user interface for creating 2D models and generating fi nite element triangulation grids. Grid generation is accomplished by an external call to the C-code Triangle.c, written by Jonathan Shewchuk at UC Berkeley.)
- 2011-03-16 13:43:35下载
- 积分：1
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RVM_matlabToolBox
相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)
- 2013-11-21 11:05:48下载
- 积分：1
