Articl_An-application-of-Artificial-Neural-Networ

自适应多速率编码器标准代码，解码端。可将wav文件编码生成amr格式的文件。这种格式的文件可根据信道质量，自动调节编码速率，故称之为自适应。(adaptive multi-rate encoder standard code, the decoder. Wav documents can be generated amr coding format documents. This format of the document is available according to the channel quality, automatic adjustment coding rate, but it is called adaptive.)

这是一个潮流计算的程序。运用了牛顿—拉夫逊法。求出了各节点电压，功率分布。(This is a process flow calculation. The use of the Newton- Raphson method. Obtained each node voltage, power distribution.)

说明：  基于信息熵的免疫算法，将信息熵算法与免疫算法相结合。(Immune algorithm based on information entropy)

说明：  MATLAB与神经网络，内涵工具箱应用，基于初级理论的神经网络。(MATLAB and the neural network, the application of the connotation of the toolbox, based on the primary neural network theory.)

基于代价敏感布雷格曼散度的旋转机械轴承故障诊断研究(Rotating Machinery Fault Diagnosis of Bearing cost sensitive Bregman divergence based)

根据静态苹果图像RGB三值检测苹果表面是否有缺陷，比较准确(Apple RGB image from the static three-valued test whether apple surface defects, more accurate)

Matlab命令速查Word版，对初学者英语不好者可以有点帮助(Matlab Command Quick Word version of English is not good for beginners who can help a little)

永磁同步电机矢量控制系统的matlab/simulink仿真模型，是一个同学做的(PMSM SVPWM control)

fdtd+matlab one dimensional(fdtd+matlab code)

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )