PSCAD

开发环境:Matlab 简要说明:动量-自适应学习调整算法。在实际应用中，原始的BP算法很难胜任，因此出现了很多的改进算法。BP算法的改进主要有两种途径，一种是采用启发式学习方法，另一种则是采用更有效的优化算法。本例采用动量BP算法，来实现对网络的训练过程，动量法降低了网络对于误差曲面局部细节的敏感性，有效地抑制网络陷于局部极小。(development environment : Matlab Brief Description : Momentum-adaptive learning algorithm adjustments. In practical application, the original BP algorithm competence, resulting in a lot of improved algorithm. BP algorithm improvements There are two main ways of using a heuristic approach to learning Another is the use of a more effective method of optimization. Momentum cases using the BP algorithm to achieve the network training process, Momentum for reducing error of the network for local surface details of the sensitivity, to effectively curb the network into local minima.)

matlab带噪声周期信号的自相关运算代码仿真有图(autocorrelation matlab periodic signal with noise)

模式识别中的感知器算法在MATLAB中的实现案例(Pattern Recognition Perceptron algorithm in MATLAB to achieve Case)

说明：  有限元方法编程matlab程序源代码，很好的(Finite element method matlab programming source code, well)

kalman滤波的matlab程序，里面是源程序(kalman filter matlab program)

This code is an importante code of example of Matlab for introduction about this programm.

已调好，可以仿出结果的模型，电力有源滤波器APF与lcl滤波器结合及变流器搭的网侧滤波模型(The modulated model can be copied)

窄高斯随机过程的Matlab的程序有寻求的自己下来(Narrow Gaussian random process of Matlab the process by seeking their own down)

一个关于编码的matlab的程序，经过测试，能够运行(a matlab program about coding)

说明：  matlab 系统仿真 实例第六章所有例子，可以学习下；(matlab simulation examples of Chapter VI of all the examples, you can learn from the next )