SIMULATED-ANNEALING-

这是一个模拟第3类模式地震波的matlab脚本。 This a collection of Matlab scripts that solve the antiplane (mode III) earthquake dynamic problem with slip-weakening friction, on a 1D fault embedded in a 2D homogeneous elastic unbounded medium. The problem is formulated as a boundary integral equation and the elastodynamic kernels are analytically derived in the spectral domain (spatial wavenumber). The method is explained e.g. by Morrysey and Geubelle (1997), and has been improved and extensively used by Nadia Lapusta, Alain Cochard, etc. (This is a Class 3 model simulation of seismic waves of matlab scripts. This a collection of Matlab scripts that solve the antiplane (mode III) earthquake dynamic problem with slip-weakening friction, on a 1D fault embedded in a 2D homogeneous elastic unbounded medium.The problem is formulated as a boundary integral equationand the elastodynamic kernels are analytically derived inthe spectral domain (spatial wavenumber). The method is explained eg by Morrysey and Geubelle (1997), and has been improved and extensively used by Nadia Lapusta, Alain Cochard, etc.)

lerning in logic prolog

说明：  经典泊松方程的matlab数值求解程序代码。(Possion equation numberical sover code using matlab.)

软输出维特比译码方法的matlab实现.是个很典型的编程方法(Soft Output Viterbi decoding method matlab realize)

BP（Back Propagation）网络是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。 BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。 它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。 通过对信息的提取以及记忆，用作分类、聚类、预测等。 (BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)

文字转换，可用于繁体字和简体字之间的转换()

卡尔曼滤波程序 含卡尔曼滤波理论pdf＆各种卡尔曼滤波程序(Kalman filter procedure with Kalman filter theory pdf )

hspice model of common mode feedback circuit

3种jacobi迭代算法，即将Ax=b，转换为A=D-L-U，进而x=Bx+f(3 kinds of jacobi iterative algorithm, ie Ax = b, converted to A = DLU, and then x = Bx+ f)

说明：  这是GM(1,1)灰色预测的程序，里面有检验和说明，绝对可用(This is the GM (1,1) gray prediction procedure, which has tested and description, absolutely free)