lbjsf

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.)

power electronics in wind turbines

工具箱，做svm算法时使用的，将其放在toolbox文件夹下，开始matlab运行时调整好路径即可使用(libsvm Toolbox.Used when doing the svm algorithm, put it in the toolbox folder, start the matlab runtime to adjust the path to use)

MC-CDMA Walsh code for the communication systems.

CGUI在STM上的移植, PDF文件,下载查看(The transplantation of CGUI on STM)

cvx optimation tool,times function(times function)

Power Flow 3-Bus system using Newton Raphson

忆阻器《忆阻器非线性漂移》翻译及其忆阻器宏模型建立及其电路仿真。(memristor emulator )

IMM-交互多模卡尔曼滤波机动与非机动模型算法实现(IMM-interactive multi-mode Kalman filtering motorized and non-motorized model)

差分进化算法标准版，应用时可以自行修改，可以达到较好的优化效果(Differential evolution algorithm standard edition，you can change it if you want to use if for self application Can achieve better optimization effect)