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mobileSimple
OMNeT++实现的一个移动通信的简单例子(OMNeT++ implementation of a simple example of mobile communications)
- 2010-05-18 13:18:53下载
- 积分：1
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puyu
1996年全国数学建模竞赛A题扑鱼策略的程序(Policy procedures the fish flapping)
- 2011-06-04 23:54:54下载
- 积分：1
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jixian
迹线法实现轮轨接触，是轮轨接触力及垂向力的基础内容，需要轮轨接触角及型面数据作为初始 内容(Trace method to achieve the wheel-rail contact, is wheel-rail contact force and the vertical force base, you need a wheel-rail contact angle and surface data as the initial content type)
- 2021-03-29 10:49:11下载
- 积分：1
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TPs-d-intelligence-artificielle
this document contains a few matlab file concerning artificiel intelligence.
- 2013-10-09 21:46:04下载
- 积分：1
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31
说明： A comparison between two direct torque control strategies for flux and torque ripple reduction for induction motors drives
- 2010-11-25 03:19:07下载
- 积分：1
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Shotboundarydetection
code detectes the shot boundaries.
- 2011-01-04 13:12:41下载
- 积分：1
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54512
matlab指令大全，基础学习必然会用得着(the matlab instruction Daquan, the basis of learning will certainly need it)
- 2013-03-25 21:56:59下载
- 积分：1
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back-smooth-MUSIC-code
前后向平滑MUSIC算法。通过平滑，提高了分辨率(Before and after smoothing MUSIC algorithm. By smoothing to improve the resolution)
- 2013-12-05 22:32:38下载
- 积分：1
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svm
做时间序列预测的svm程序，matlab编的(To do time series prediction of the SVM procedure, matlab series)
- 2007-10-27 23:26:54下载
- 积分：1
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SOM_NN_CODE
An important aspect of an ANN model is whether it needs
guidance in learning or not. Based on the way they learn, all
artificial neural networks can be divided into two learning
categories - supervised and unsupervised.
• In supervised learning, a desired output result for each input
vector is required when the network is trained. An ANN of the
supervised learning type, such as the multi-layer perceptron, uses
the target result to guide the formation of the neural parameters. It
is thus possible to make the neural network learn the behavior of
the process under study.
• In unsupervised learning, the training of the network is entirely
data-driven and no target results for the input data vectors are
provided. An ANN of the unsupervised learning type, such as the
self-organizing map, can be used for clustering the input data and
find features inherent to the problem.
- 2015-04-15 00:03:32下载
- 积分：1
