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Aircraft-Control-Toolbox
Matlab 飞行控制工具箱,可以进行飞行控制仿真(Matlab Aircraft Control Toolbox )
- 2014-03-17 12:58:18下载
- 积分:1
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串口ac01
说明: matlab数字滤波器设计,计算出参数便于dsp实现bp-ac01(matlab digital filter design, easy to calculate the parameters dsp achieve bp-ac01)
- 2006-02-15 21:57:13下载
- 积分:1
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fitness
基于粒子群算法的微电网优化调度,在运行成本最小,环境友好的条件下,优化发电单元的出力(Based on Particle Swarm Optimization microgrid scheduling, running costs are minimized, environmentally friendly conditions, optimize power generation unit output)
- 2020-12-25 16:49:04下载
- 积分:1
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somtoolbox-0.4.6-md.tar
just for testing to upload ,,is there anyone have about document clustering , plz help me plz
- 2009-06-21 18:07:02下载
- 积分:1
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Cluster-analysis
对应聚类分析与盲矿体的地球化学预测 为利用矿区地球化学数据进行找矿靶区预测,采用了对应的聚类分析方法(Cluster analysis and blind orebodies corresponding geochemical prediction for the use of data mining geochemical prospecting target prediction, using the corresponding cluster analysis method)
- 2011-05-13 22:26:59下载
- 积分:1
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shuzichuanshu
这是我在通信原理课程设计中自己做的程序,是关于数字调制中几个方法的画图与各自的误码率分析(包括画图),供大家参考(This is my design in the communication theory course do their own procedures, several methods of digital modulation in the drawing and their error rate analysis (including drawing), for your reference)
- 2010-05-23 21:52:17下载
- 积分:1
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jiandan
buck-boost的Matlabsimulink仿真(Matlabsimulink simulation of the buck-boost)
- 2012-06-04 12:58:05下载
- 积分:1
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libsvm-3.16
lib svm is support vector machine which can be used in classification and regression test. thanks for open source
- 2013-03-07 18:40:34下载
- 积分:1
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0-1-knapsack-problem-matlab
关于matlab解决0-1背包问题的修改,原先下载的matlab代码中有错误(Solve 0-1 knapsack problem matlab modifications, there is an error in the original download matlab code)
- 2012-09-24 14:20:54下载
- 积分:1
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TF-IDF-to-Determine-Word-Relevance
Using TF-IDF to Determine Word Relevance in Document Queries :
In this paper, we examine the results of applying
Term Frequency Inverse Document Frequency
(TF-IDF) to determine what words in a corpus of
documents might be more favorable to use in a
query. As the term implies, TF-IDF calculates
values for each word in a document through an
inverse proportion of the frequency of the word
in a particular document to the percentage of
documents the word appears in. Words with
high TF-IDF numbers imply a strong
relationship with the document they appear in,
suggesting that if that word were to appear in a
query, the document could be of interest to the
user. We provide evidence that this simple
algorithm efficiently categorizes relevant words
that can enhance query retri
- 2015-04-06 15:00:50下载
- 积分:1