chap15

AC101 Circuit application

用于实现weighted k-means算法，可以运行(It is used to perform weighted k-means clustering)

说明：  都是一些matlab图形用户界面的设计实例，包括simulink仿真。(are Matlab graphical user interface design examples, including Simulink simulation.)

非常好的扩展kalman 滤波的Matlab学习程序,特点是简单,能够设置输入参数,直观理解算法原理。(Matlab extended kalman filter learning algorithm, which is characterized by simple, to set the input parameters, intuitive understanding algorithm.)

matlab programme for loss calculation in HT line

Lyapunov Exponents Toolbox (LET) provides a graphical user interface (GUI) for users to determine the full sets of Lyapunove exponents and dimension of their specified chaotic systems. This version of LET can only run on MATLAB 5 or higher versions of MATLAB. It has been tested under Windows and Unix. LET may also run on other platforms. The original version of LET has only 200 lines while the GUI version of LET has almost 2000 lines. The GUI makes the program become more sophisticated and run slower but allows the users to observe the calculated results immediately, so that they can decide whether the results are convergent or not.(Lyapunov Exponents Toolbox (LET) provides a graphical user interface (GUI) for users to determine the full sets of Lyapunove exponents and dimension of their specified chaotic systems. This version of LET can only run on MATLAB 5 or higher versions of MATLAB. It has been tested under Windows and Unix. LET may also run on other platforms. The original version of LET has only 200 lines while the GUI version of LET has almost 2000 lines. The GUI makes the program become more sophisticated and run slower but allows the users to observe the calculated results immediately, so that they can decide whether the results are convergent or not.)

介绍了几款数学软件的使用，其中包括mathematica matlab 以及SAS，内容涵盖了数值处理和求解方程组等。(Describes the use of several mathematical software, including mathematica matlab and SAS, which covers the numerical processing and solving equations and so on.)

canny edge detection for images

Elman神经网络：Elman网络是 J. L. Elman于1990年首先针对语音处理问题而提出来的, 它是一种典型的局部回归网络( global feed for ward l ocal recurrent)。Elman网络可以看作是一个具有局部记忆单元和局部反馈连接的前向神经网络。Elman网络具有与多层前向网络相似的多层结构。它的主要结构是前馈连接, 包括输入层、 隐含层、 输出层, 其连接权可以进行学习修正 反馈连接由一组“结构 ” 单元构成,用来记忆前一时刻的输出值, 其连接权值是固定的。在这种网络中, 除了普通的隐含层外, 还有一个特别的隐含层,称为关联层 (或联系单元层 ) 该层从隐含层接收反馈信号, 每一个隐含层节点都有一个与之对应的关联层节点连接。关联层的作用是通过联接记忆将上一个时刻的隐层状态连同当前时刻的网络输入一起作为隐层的输入, 相当于状态反馈。隐层的传递函数仍为某种非线性函数, 一般为 Sigmoid函数, 输出层为线性函数, 关联层也为线性函数。(Elman neural network: Elman JL Elman network is first proposed for speech processing problems in 1990. It is a typical local regression network (global feed for ward l ocal recurrent). Elman network can be seen as having a forward neural network of local memory unit and local feedback connections. Elman network has a multi-layer multilayer structure similar to the network. Its main structure is a feedforward connection, comprising an input layer, a hidden layer and output layer, which can be connected right learning correction feedback connected by a set of " structural" units, the output value of the memory for the previous time, which connection weights are fixed. In such a network, in addition to ordinary hidden layer, there is a special hidden layer, called an associative layer (or contact layer unit) this layer receives feedback signals the hidden layer, each hidden layer node has an associated layer node corresponding connection. The role of the associated layer is fo)

用于判断不含分支的电网的静态电压稳定性!里面包含第一类稳定判据和第二类稳定判据，用于充分判断电压稳定性!(Used to judge the excluding branch static voltage stability of power grid.Contains the first kind of stability criterion and the second category of stability criterion, is used to fully determine the voltage stability.)