-
CHAP4_2
采用二次型性能指标学习算法的PID控制程序,欢迎下载。(The use of quadratic performance index of the learning algorithm PID control procedures, please download.)
- 2009-06-05 15:58:29下载
- 积分:1
-
dfp
最优化算法DFP算法源代码 可以实现求极小值的(dfp program orginal file)
- 2012-05-25 11:02:14下载
- 积分:1
-
BP-pattern-recognition
基于神经网络的分类,实验数据与结果均在文件夹里,简单的例子将会初学者学习怎么样通过神经网络进行分类与模式识别,很实用的入门程序。(Classification based on the experimental data and the results of neural networks are in the folder, a simple example would be for beginners to learn how to classify and pattern recognition, it is useful entry procedures by neural networks.)
- 2014-05-30 10:19:22下载
- 积分:1
-
kalma-filter
说明: 卡尔曼滤波器,鲁道夫博士设想的。Kalman(1930-2016)提供了一种有效的机制来估计动态系统的状态,当一个模型可以顺序预测状态和顺序测量也是可用的。在许多实际动力系统的研究中,在不同领域中,这是一种常见的情况。(Matlab implementation of Kalman filter)
- 2021-02-22 09:09:15下载
- 积分:1
-
flux_density2_1
Electromagnetic Simulation using the FDTD method章节后实例2-1 flux_density2_1用matlab重新编写(Electromagnetic Simulation using the FDTD method example 2-1 flux density ,rewriting in matlab)
- 2015-03-13 17:07:36下载
- 积分:1
-
FEM-MATLAB(75)
matlab有限元编程75个案例,梁、板等结构,三角形,四边形等单元(matlab finite element program 75 cases, all very powerful, just always just a single)
- 2020-07-02 03:40:01下载
- 积分:1
-
matlab-codes
describe how to generate OFDM signal,but do not add interval
- 2013-10-28 17:03:56下载
- 积分:1
-
Fast decoupling method.zip
电力系统状态估计快速解耦法(PQ分解:有功和无功的分解;雅克比矩阵常数化)(Fast decoupling method for power system state estimation (PQ decomposition decomposition; active and reactive Jacobi matrix))
- 2017-07-22 12:41:19下载
- 积分:1
-
bestdimensionm
在用混沌理论和神经网络进行短期负荷预测时,神经网络的输入的选择至关重要,该程序用matlabl实现了基于混沌时间序列的嵌入维数的选择(using chaos theory and neural networks for short-term load forecasts, the neural network is essential to choose an input, The procedure used matlabl achieved a chaotic time series based on the embedding dimension of choice)
- 2020-09-24 10:57:48下载
- 积分:1
-
AR
说明: matlab环境下,计算圆极化电磁波轴比的程序(calculated circularly polarized electromagnetic wave axis than the program Matlab environment)
- 2021-03-15 14:49:22下载
- 积分:1