test-file--lsbmatching-revisited

一个RBF神经网络的算法实现程序,可用于实现RBF神经网络的函数逼近(A RBF neural network algorithm procedures, can be used to realize the function of the RBF neural network approximation)

复杂网络算法与应用教程的例子源代码，对复杂网络学习和实验有提高(Complex network algorithm and Application Tutorial example source code, complex network learning and experiment has been improved.)

this program include successfull matlab code

banana Implementacao da rede MLP canonica (backpropagation com gradiente descendente)

说话人识别、声纹识别 MATLAB程序及清单(SPEAKERID)

说明：  基于小波变换的图像压缩：小波变换应用于图像压缩。(based on wavelet transform image compression : wavelet image compression used.)

该算法一种结合改进的基于独立分量分析（ICA）提取算法和基于多层感知器和单向二叉决策树的多类支持向量机分类方法。(The algorithm is a combination of improved based on independent component analysis (ICA) algorithm and multi-class support vector machine classification method based on binary decision tree of the multilayer perceptron and unidirectional.)

2011-zhang-Dynamic Modeling of Scraper Conveyor Sprocket

matlab 的s函数模板，用s函数是，在这个基础上修改后就可以用了！！(matlab s-function template, use the s function is, on this basis can be modified after it! !)

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