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Hefron Philips model

基于3个节点的闭式网络的牛顿拉夫逊迭代法(Newton Ralph Xun Diedefa based on closed network of 3 nodes)

说明：  一个duffing模型，一个噪声模型，一篇duffing检测原理，。可检测不同频率的待测信号(a duffing model, a noise model, a duffing detection principle)

这个Matlab程序实现最速下降算法。最速下降法是一种最基本的算法，它在最优化方法中占有重要地位.最速下降法的优点是工作量小，存储变量较少,初始点要求不高；缺点是收敛慢，最速下降法适用于寻优过程的前期迭代或作为间插步骤，当接近极值点时，宜选用别种收敛快的算法. (Matlab implementation of this procedure steepest descent algorithm.)

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)

DV-Hop定位算法的仿真与改进算法 可以输出定位结果图和误差统计图，有一些临时的统计输出代码不能直接用，要更新得到的数据(Simulation and improved algorithm of DV-Hop location algorithm)

Here, an implementation of Fast Decoupled Load flow is matlab platform is done. This is used for Load flow studies (Electrical).

说明：  智能控制源程序，适合初学者使用，是用matlab语言编写(Intelligent Control of source code, suitable for beginners to use, is to use matlab language)

一部分希尔伯特-黄变换（HHT）的经验模式分解（EMD）程序，(part of Hilbert-Huang Transformation (HHT) Empirical Mode Decomposition (EMD) procedures, huh)

这是一个模式识别中关于主成分分析的特征提取的matlab源码 (This is a pattern recognition principal component analysis on the feature extraction matlab source)