test_2

波茨曼格子流体模拟，用于模拟微观油水驱替效果和流体分布关系(LBM fluid simulation, used to simulate the micro-oil-water displacement effects and the relationship between fluid distribution)

1 通过实验，掌握多元正态分布的最大似然估计； 2 掌握多元正态分布下的最小错误率的贝叶斯分类； 3 对其他的参数估计有更深的认识。 (1 experiment, master multivariate normal distribution maximum likelihood estimation 2 multivariate normal distribution under the minimum control error rate Bayesian classifier 3 on the other have a better understanding of parameter estimation.)

<<信号与系统分析及MATLAB实现>>这本书的配套源代码(Signal and System Analysis and MATLAB implementation)

电力系统暂态故障的六种形式仿真，小波分析去噪，提取特征(six form of Power system transient fault, using wavelet analysis)

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)

这是有关MATLAB学习的一些编程技巧和使用的一个程序示例(MATLAB STUDY)

说明：  使用matlab实现信息瓶颈中的aIB算法源程序(Matlab implementation using information bottleneck algorithm source code in aIB)

小波变换程序，包括水平细节系数、垂直细节系数、近似细节系数、对角细节系数的显示(Wavelet transform procedures, including display horizontal detail coefficient, vertical detail coefficients and detail coefficients, the approximate diagonal detail coefficients)

NeuralNetworkMatlab 神经网络讲义的matlab源代码(NeuralNetworkMatlab neural network overhead of Matlab source code)

Least mean squares algorithm for smart antenna