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Photovoltaic
matlab中搭建的光伏发电模型,包含一个mdl文件和一个仿真输出结果曲线截图。(Photovoltaic.mdl in matlab)
- 2014-12-22 16:12:10下载
- 积分：1
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PSO
基于粒子群的多目标优化搜索算法，欢迎使用(Multi-objective optimization search algorithm based on PSO, Welcome)
- 2020-12-18 17:19:10下载
- 积分：1
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DEVDynamicsModel
这是根据汽车理论中的驱动力平衡基本方程所搭建的汽车行驶二自由度simulink仿真模型(this is a 2 degree dynamics simulating model under the matlab/simulink environment)
- 2013-05-13 21:23:14下载
- 积分：1
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BPnetwork
这是一个利用BP神经网络进行分类学习的程序，系统输入为4个，输出为1个(This is an advantage of BP neural network to classify the learning process, the system input is 4, the output is a)
- 2015-02-03 15:42:28下载
- 积分：1
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200707171150412297
简单易用入门的MATLAB源程序，希望能够给大家带来帮助！(Easy to use entry of the MATLAB source code, hoping to give us some help!)
- 2009-11-16 10:55:06下载
- 积分：1
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SLoscillator
这是一个半导体激光器弛豫振荡现象的仿真程序，计算参数和速率方程模型都取自经典教材Semiconductor Lasers(Agrawal 著)，可以作为学习和进一步研究半导体激光器各种动态特性的基础材料。(This is a simulation program by Matlab for calculating the oscilating in semiconductor lasers, in which the rate equation model and the parameters used are all from the classic technical monograph by Agrawal. This could be a basic material for further investigating and studying different dynamic activities of semiconductor lasers. )
- 2013-08-13 16:59:58下载
- 积分：1
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chombo_package4
说明： 自适应网格划分通用程序包，美国伯克利大学开发。(Adaptive Mesh generic package, the United States developed at the University of Berkeley.)
- 2006-04-13 21:13:20下载
- 积分：1
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CoefsMel
This sourcecode extracts de melcepstrum coefficient of an audio file. You should give to de function, the audio file save as a vector, and the function returns a vector with 23 melcepstrum coefficients.
- 2010-05-11 16:03:34下载
- 积分：1
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PID
多变量输入、输出、多干扰、非线性和强耦合的复杂系统控制是一个比较困难的问题，常用的控制器可能因为多变量耦合问题难以控制系统。PID神经元网络是一种多层前向神经元网络，它的各层神经元个数、连接方式、连接权值是按照PID控制规律的已有原则和经验确定的，是一种动态的符合控制系统的前向网络。但是由于PID网络初始权值随机取值的原因，每次控制的效果都有所差别，个别情况下控制效果还比较差。本案例研究了基于PID神经元的多变量耦合系统控制，并用PSO算法来优化控制器以取得更好的控制效果。(Multivariable input, output, and more interference, complex nonlinear and strong coupling system control is a more difficult problem, commonly used multivariable controller may be because the problem is difficult to control the coupling system. PID neural network is a multi-front to neural networks, its number of neurons in each layer, connection, connection weights are in accordance with the existing principles and experience to determine the PID control law is a dynamic compliance before the control system to the network. However, due to the random initial weights of the network PID values of reason, every time there are differences in the effect of control and in some cases the control effect is still relatively poor. This case study of multivariable coupling system based on PID control neurons, and with PSO algorithm to optimize the controller to achieve better control effect.)
- 2015-03-22 13:42:37下载
- 积分：1
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IJCISIM_Vol_1_Paper_12
Combination of Forecasting Using Modified GMDH and Genetic Algorithm
- 2014-10-17 04:16:53下载
- 积分：1
