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LEACH
针对leach协议 采用matlab仿真(Leach agreement for the use of matlab simulation)
- 2008-08-20 14:31:29下载
- 积分：1
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cosine_modulated_gaussian
matlab for cosine_modulated_gaussian
- 2013-04-29 19:46:10下载
- 积分：1
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RBF
把RBF神经网络运用到对非线性的系统进行逼近上的仿真(The RBF neural network applied to the simulation of non-linear systems on the approximation)
- 2021-04-26 22:08:45下载
- 积分：1
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AKalmanFilterBasedTrackingLoopinWeakGPSSignalProce
这是一个基于卡尔曼滤波的GPS跟踪微弱信号的文章！(This is a Kalman filter-based weak signal tracking GPS article!)
- 2010-11-23 23:15:33下载
- 积分：1
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PNGE
说明： 弹药工程与爆炸技术专业实用，主要叙述弹药弹丸飞行仿真机数据处理(Explosive ordnance engineering and technical expertise and practical, the main narrative ammunition projectile flight simulator data processing)
- 2010-04-17 16:07:50下载
- 积分：1
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Levenstein
Levenstein Coding MATLAB (by Marcos B, BSD license)
- 2011-12-13 20:21:42下载
- 积分：1
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fem-matlab
fem in matlab a good sourse for structural engineers
- 2015-01-07 08:19:17下载
- 积分：1
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yewn78.3
This paper presents a new and efficient approach for capacitor placement in
radial distribution systems (RDS) that determine the optimal locations and size of
capacitor with an objective of improving the voltage profile and reduction of power loss.
The solution methodology has two parts: in part one the loss sensitivity factors (LSF) are
used to select the candidate locations for the capacitor placement and in part two a new
algorithm that employs Dijkstra Algorithm (DA) is used to estimate the optimal size of
capacitors at the optimal buses determined in part one. The main advantage of the
proposed method is that it does not require any external control parameters. The other
advantage is that it handles the objective function and the constraints separately. The
proposed method is applied to 33 & 69 RDS. The solutions obtained by the proposed
method are compared with other methods. The proposed method has outperformed the
other methods in terms of the quality of solution.
OPTIMAL C
- 2013-12-16 14:27:18下载
- 积分：1
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mutli-output
多输出的支持向量机matlab代码, 常规的svm是单输出，这个是多输出(
Standard SVR formulation only considers the single-output problem. In the case of several output variables, other methods (neural networks, kernel ridge regression) must be deployed, but the good properties of SVR are lost: hinge-loss function and sparsity. The proposed model M-SVR extends the single-output SVR by taking into account the nonlinear relations between features but also among the output variables, which are typically inter-dependent.
)
- 2016-03-05 15:29:54下载
- 积分：1
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MATLAB
MATLAB 编程风格指南
初学者的知音(MATLAB programming style guide beginners the Salon)
- 2007-07-04 11:20:01下载
- 积分：1
