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fengji1
基于SIMULINK，风电仿真所用到的模型，希望有帮助(SIMULINK, wind power simulation model used, it is helpful)
- 2012-10-11 16:15:14下载
- 积分：1
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456
本程序运行需要几分钟时间；两个M文件都放在MATLAB目录下；在命令窗口中输入lianxuwuran(t)，回车即可运行，(This program takes a few minutes Two MATLAB M-files are placed in the directory Enter lianxuwuran (t) in the command window, press Enter to run)
- 2014-01-01 12:59:12下载
- 积分：1
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SIsomap
IOSMAP非线性降维方法，算法正确，可以直接运行(IOSMAP nonlinear dimension reduction method, the algorithm is correct, can be directly run)
- 2014-10-05 17:37:17下载
- 积分：1
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EasyPaint[by-faruto-v1.2]
matlab画板matlab画板matlab画板matlab画板(this is matlab pant this is matlab pantthis is matlab pant this is matlab pant)
- 2012-08-23 18:13:42下载
- 积分：1
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aircraft
This is used for aircraft projects ,where it contains the aircraft related papers
- 2014-01-04 01:18:59下载
- 积分：1
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55597ClusterBasics-V1.0
类聚的概念 对一些有需要的 人还是比较有帮助的 (buzhidao )
- 2010-08-14 20:46:36下载
- 积分：1
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emd_imf_correlation
这是应用emd分解之后，并与原信号进行相关分析的matlab程序(this is a program which contains emd and correlation analysis with the original signal)
- 2011-11-09 14:36:33下载
- 积分：1
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[_ENIGMA_R1869373292005
enigma machine simulator
- 2014-11-05 14:58:54下载
- 积分：1
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ACO-for-path-planning
蚁群算法路径规划matlab代码，可以正常运行(Ant colony algorithm for path planning of the matlab code, and can run normally)
- 2015-04-07 19:09:44下载
- 积分：1
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gender-classification-experiments
这是用身高体重数据进行性别分类的实验。
用最小错误率贝叶斯分类器决策时，首先通过比较概率大小判断一个体重身高二维向量代表的人是男是女，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。
用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误率。
(This is the height and weight data for gender classification experiment.
With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data .
Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate .
)
- 2012-02-02 20:40:46下载
- 积分：1
