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MATLAB6.0--math
说明： 非常有用的matlab关于在数学方面的使用说明，回味学数学的同志们带来很大的帮助(Very useful in mathematics matlab on the instructions, the comrades of mathematics aftertaste of great help)
- 2011-03-08 14:26:51下载
- 积分：1
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ex_18_4
测量角度：读取图像并选择含有角度的区域，求取角的直线边界，计算直线间的角度。(Measuring angles: read image and choose contain Angle of regional and calculating the Angle between the line, line border calculation.)
- 2010-09-07 15:16:39下载
- 积分：1
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9812834109
MATLAB DATAMINING COURSE CODE
- 2010-09-17 16:32:07下载
- 积分：1
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tsp2matlab
说明： 该程序试图对具有31个城市的VRP进行求解，已知的最优解为784.1，我用该程序只能优化到810左右，应该是陷入局部最优，但我不知问题出在什么地方。请用过蚁群算法的高手指教。
蚁群算法的matlab源码，同时请指出为何不能优化到已知的最好解(The program attempts to have 31 cities of the VRP is solved, the optimal solution is known as 784.1, I use the program can only be optimized to about 810, should fall into local optimum, but I do not know where the problem is. Please teach master ant colony algorithm used. Ant colony matlab source, also please explain why not optimize the best solution to a known)
- 2010-04-27 20:09:43下载
- 积分：1
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estimate_hurst_exponent
估计Hurst指数的matlab代码，可以分析股票市场上的特点。(estimate hurst exponent)
- 2012-04-15 21:12:20下载
- 积分：1
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matlabfiles
Generation of different beampattern
- 2013-09-02 09:42:07下载
- 积分：1
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DV_HOP.m__html
wireless sensor networks
- 2012-08-13 08:59:40下载
- 积分：1
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greymodel
本程序主要用来计算根据灰色理论建立的模型的预测值。
应用的数学模型是 GM(1,1)。
原始数据的处理方法是一次累加法( Of the procedures used to calculate the main theory in accordance with the gray of the predictive value of the model. The application of the mathematical model is GM (1,1). Handling of the raw data is a cumulative method)
- 2009-05-09 17:13:39下载
- 积分：1
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image
利用canny算子分割图像，得到修正的跳频信号的二值化时频图(Use canny operator image segmentation, frequency hopping signals corrected binarized time-frequency diagram)
- 2016-05-05 11:02:12下载
- 积分：1
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SVM_matlab
利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)
- 2014-01-20 22:14:03下载
- 积分：1
