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ACOTSP[1].V1.0
路径规划 路径规划的实例，主要运用蚁群算法，算法简洁明了，不懂的可联系本人(Examples of path planning, the main use of ant colony algorithm, the algorithm of concise, do not know I can contact)
- 2009-12-29 09:49:55下载
- 积分：1
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face-detection
Face Detection, neural network
- 2013-11-30 03:42:33下载
- 积分：1
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Dynamic-Programming
说明： 动态规划相关介绍，入门的朋友可以看看。欢迎大家下载啊~~~~~(Dynamic programming related presentations, entry-friends can see. Welcome to download ah ~~~~~)
- 2011-03-01 21:32:59下载
- 积分：1
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paiming
这是一个解决学生排名问题的matlab程序，采用的方法是用最小二乘法求解由模型确立的超定方程组。(This is a solution to the problem of students ranked the matlab program, using the least square method is to use the model established by the overdetermined equations.
)
- 2011-07-18 22:36:09下载
- 积分：1
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case30
这是一个30节点的IEEE-30标准测试系统后感数据代码(This is a 30-node IEEE-30 standard test system a sense of the data code)
- 2009-03-31 10:59:31下载
- 积分：1
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pmsm
how to control a permanent magnet synchron motor
- 2009-06-03 00:56:08下载
- 积分：1
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1.MUSIC算法MATLAB程序
自由场和室内环境中的高分辨率谱估计算法,即doa_music算法(High-resolution spectrum estimation in free field)
- 2018-04-26 15:46:20下载
- 积分：1
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nggm
数学方法是部分子空间法，关于小波的matlab复合分析，结合PCA的尺度不变特征变换(SIFT)算法，解耦，恢复原信号。( Mathematics is part of the subspace, Matlab wavelet analysis on complex, Combined with PCA scale invariant feature transform (SIFT) algorithm, Decoupling, restore the original signal.)
- 2016-04-15 11:24:28下载
- 积分：1
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2
说明： 关于信号输入均匀量化器的信号幅度，用MATLAB实现量化过程(Uniform quantizer on the input signal amplitude, using MATLAB to quantify the process of achieving)
- 2011-04-14 19:42:51下载
- 积分：1
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fisher
费希尔线性判别分析代码
Find the Fisher linear separator w (a column vector).
X is is the training set (X is a matrix. Each row of X
is a vector containing the features of a single sample). y is
a column vector with the labels of the training set (1 and -1).
alg is a number between 1 and 3 that specifies how to find w:
alg = 1: w is the generalized eigenvalue of A,B.
alg = 2: w is the solution to Bw = (mu_1-mu_2)
alg = 3: solve the corresponding regression problem( Find the Fisher linear separator w (a column vector).
X is is the training set (X is a matrix. Each row of X
is a vector containing the features of a single sample). y is
a column vector with the labels of the training set (1 and-1).
alg is a number between 1 and 3 that specifies how to find w:
alg = 1: w is the generalized eigenvalue of A,B.
alg = 2: w is the solution to Bw = (mu_1-mu_2)
alg = 3: solve the corresponding regression problem)
- 2010-05-27 23:16:12下载
- 积分：1
