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1
说明: 蚁群算法研究 Ant colony algorithm(Ant colony algorithm. Txt)
- 2011-05-12 01:38:57下载
- 积分:1
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LP21
利用模式理论,对给定几何尺寸以及折射率分布的光纤进行模式求解与绘图,该程序给出LP21模的求解与绘图。(the LP21 mode of the fiber)
- 2021-03-01 22:59:35下载
- 积分:1
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slidingmodecontrol
滑模变结构控制及MATLAB仿真的书籍
书中给出了仿真源代码,很好(Sliding mode control and MATLAB simulation books book simulation source code, well)
- 2008-06-26 19:08:52下载
- 积分:1
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DSP57813
说明: DSP本身在内的所有电子器件都是干扰源,而且系统所处的工作环境中还有很多外来干扰源,再加上语音识别技术对信号噪声非常敏感,所以在系统设计中必须考虑系统的抗干扰问题。(DSP itself, including all electronic devices are sources of interference, and the system environment in which there are many external sources of interference, coupled with voice recognition technology is very sensitive to signal noise, so the system design must consider the system of anti- interference problem.)
- 2011-03-13 09:56:18下载
- 积分:1
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KNN3
说明: matlab环境下 实现的3类分类的KNN算法(KNN algorithm to classify three classes developed by matlab)
- 2010-04-15 20:45:10下载
- 积分:1
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fangchayuzhiwenzhang
通过构造加博函数进行加博滤波实现对指纹图像的预值
- 2010-05-21 11:15:43下载
- 积分:1
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chap10
关于用遗传算法改进BP神经网络的matlab实现(转引)
ga优化神经网权值&阈值程序。
优化的基本原理和过程很多论文可以查到,在此不必赘述我就把用gaot5的小程序贴在下面吧,也是y=1/x(为看的方便,比较繁杂的也有) (About matlab improved BP neural network using genetic algorithm implementation (quoted) ga optimizing neural network weights & Threshold Program. Optimization of the basic principles and procedures can be found in many papers, this does not have to go into details, I' ll stick with gaot5 small program below it, is y = 1/x (for watching convenience, there are also more complicated))
- 2014-11-19 17:51:53下载
- 积分:1
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s-parameters
S Paramters in MAtlab
- 2009-05-29 07:57:49下载
- 积分:1
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matlab-power-flow-annlysis
应用matlab计算电力系统的最优潮流,蛮好的。(matlab power flow annlysis)
- 2012-04-24 21:14:04下载
- 积分:1
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MatlabFiles
This folder or any similar folder such as this created to hold your speech files, should be copied into the root folder C: , created on the local hard drive. Then the path will read thus C:SpeechDataTope... etc. An alternative is to modify the file setTemplates.m to change the directory as appropriate.
Try to use the same microphone for training as well as for recognition to obtain improved accuracy. You might also need to tweak your sound card s mic input level.
The recognition time is dependent on systems s processing power and has been observed at between 1 and 5 seconds on various x86 platforms. To speed up recognition, you can implement unconstrained DTW (this is the code portion taking most time).
- 2010-11-26 15:30:54下载
- 积分:1