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ACATSP
运用蚁群算法求解运营商的问题
有较详细的中文注释(Ant Colony Algorithm for the use of operators in more detail the issue of Chinese Notes)
- 2009-05-05 21:10:40下载
- 积分：1
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004
使用matlab语言编程解决动态规划问题(Using matlab language programming to solve dynamic programming problem
)
- 2013-01-21 21:47:35下载
- 积分：1
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Numerical-Methods-Using-MATLAB
Applied Numerical Methods Using MATLAB
- 2012-07-25 11:49:15下载
- 积分：1
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RGB
The Matlab function RGB() converts a color index (whole number from 1-21), English name of a color (string), or RGB triple with whole number components in {0, 1, ..., 255} into an RGB triple with real-valued components in [0,1]. RGB() allows the user to access a set of 21 colors via their common English names. For eight of these colors that have more than one common name, the program accepts alternative names, reducing the memory burden on the user.
- 2009-11-20 16:06:02下载
- 积分：1
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twice_nihe
说明： 对已知房价数据做二次拟合，从而得出曲线方程，对做未来房价的粗略预测(Known to do on the secondary price data fitting curve equation to obtain, so the future price of crude forecast)
- 2009-08-23 11:19:32下载
- 积分：1
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acrobat
this is file for traffic networks benchmarks...
- 2013-03-11 15:33:48下载
- 积分：1
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xiaobo
说明： 数字图像处理 小波处理 ，去噪音，比基于傅里叶变换的去噪方法好。
含噪信号经过预处理，然后利用小波变换把信号分解到各尺度中，在每一尺度下把属于噪声的小波系数去掉，保留并增强属于信号的小波系数，最后再经过小波逆变换恢复检测信号。(The noisy signal is pre-processed, then the signal is decomposed into different scales by wavelet transform. The wavelet coefficients belonging to noise are removed at each scale, and the wavelet coefficients belonging to the signal are retained and enhanced. Finally, the detected signal is restored by inverse wavelet transform. It is better than the denoising method based on Fourier transform.)
- 2019-06-04 10:40:35下载
- 积分：1
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study
计算面积，使用方便！是个测试Matlab的实例！(Calculate the area, easy to use! Test Matlab instance!)
- 2013-03-21 22:22:13下载
- 积分：1
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Images-denoising--based-on-wavlet
从原始图像产生噪声图像，使用db1执行2层小波，使用wpbmpen进行全阈值选择，采用硬阈值和软阈值处理方式,保存低频,进行图像降噪，并绘制各分解系数图像。(Generated noise image from the original image, using db1 wavelet perform two layers using wpbmpen full-threshold selection, using hard threshold and soft threshold approach, saving low frequency, image noise reduction, and draw the decomposition coefficients images.)
- 2013-11-22 15:55:18下载
- 积分：1
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KNN
K最邻近密度估计技术是一种分类方法，不是聚类方法。
不是最优方法，实践中比较流行。
通俗但不一定易懂的规则是：
1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。
2.选出最小的前K数据个距离，这里用到选择排序法。
3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method.
It is not the best method, but it is popular in practice.
Popular but not necessarily understandable rule is:
1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov).
2. select the minimum distance from the previous K data, where the choice sorting method is used.
3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)
- 2020-10-23 14:37:22下载
- 积分：1
