matlab_baogao

It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems. The emphasis is on models for both identification and control. Static and dynamic backpropagation methods for the adjustment of parameters are discussed. In the models that are introduced, multilayer and recurrent networks are interconnected in novel configurations, and hence there is a real need to study them in a unified fashion. Simulation results reveal that the identification and adaptive control schemes suggested are practically feasible. Basic concepts and definitions are introduced throughout, and theoretical questions that have to be addressed are also described

在一定的虚警概率下，检测概率随着信噪比的增大而增大(Under a certain false alarm probability, the detection probability increases with the increase of the signal to noise ratio.)

梯度下降法在二维函数中的优化寻优，老师上课的例子，可以运行无误(Gradient descent optimization in a two-dimensional function optimization, teacher in the class example, you can run correctly)

there are very useful codes in this file

说明：  灰色模型程序，自己编的，如有错误请大侠指点。(Gray model program, their own series, if any error please heroes pointing.)

聚类传播算法，用来处理数据，对数据分类处理。(Clustering propagation algorithm, used to process the data, the data classification process.)

用matlab实现LMS自适应算法，20阶的fir滤波器，自适应效果非常好。(Matlab LMS adaptive algorithm, two order of fir filter, the adaptive effect is very good.)

情緒分析程式, 運用心跳和體溫綜合分析, 顯示在flash手機介面(emotion detection by heart-beat and body temperature. View the flash mobile interface.)

Characteristic polynomial, eigenvalues, eigenvectors

matlab code for wiener filter noise removal