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FBG
说明: matlab仿真光纤光栅,包括长周期光纤光栅(matlab simulation of fiber gratings, including the long period fiber grating)
- 2011-03-18 20:28:27下载
- 积分:1
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Applied-Numerical-Methods-Using-MATLAB---Yang-Cao
EM modeling with matlab
- 2012-06-12 21:13:52下载
- 积分:1
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Simulation
建立小车摆动动力学模型,并建立滑模变结构控制器设计和Matlab仿真.(Simulation of Cart Motion By SLM.)
- 2014-06-14 23:14:36下载
- 积分:1
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PSO SVM粒子算法优化的支持向量机
说明: 使用PSO优化SVR支持向量机模型的代码,有详细的输出及输出,以及代码说明(Use PSO to optimize SVR support vector machine model code, with detailed output and output, as well as code description)
- 2020-12-27 17:36:49下载
- 积分:1
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chaoliu
本程序的功能是用牛顿-拉夫逊法进行潮流计算(This procedure is the function of Newton- Raphson power flow calculation method)
- 2008-12-13 20:36:24下载
- 积分:1
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fdc14_beta3
matlab的FDC工具箱,对飞控系统很有帮助。(matlab the FDC toolbox of helpful flight control system.)
- 2008-12-17 16:36:49下载
- 积分:1
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the-matlab-playing-Canon
用matlab语言实现卡农在matlab上的演奏,通过试验,可以运行。(Canon played in matlab matlab language test, you can run.)
- 2012-05-28 21:17:11下载
- 积分:1
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DoRigidReg3D
Hello world application. This application automatically prints "Hello World"
- 2011-07-21 22:27:02下载
- 积分:1
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merge_sorted.tar
Merging programs for various data structures.
- 2014-08-07 14:32:23下载
- 积分:1
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BP
BP神经网络:是一种按误差逆传播算法训练的多层前馈网络,是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系,而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法,通过反向传播来不断调整网络的权值和阈值,使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层(input)、隐层(hide layer)和输出层(output layer)。(BP neural network: a Press the front back propagation algorithm to train multilayer feedforward network is one of the most widely used neural network model. BP network can learn and store large amounts of input- output mode mappings without prior reveal mathematical equations that describe this map. It' s learning rule is to use the steepest descent method, through a reverse spread to constantly adjust the network weights and thresholds, so that the minimum squared error of the network. BP neural network topology, including the input layer (input), hidden layer (hide layer) and output layer (output layer).)
- 2015-03-26 22:32:47下载
- 积分:1