GS_Forier

光纤长周期光纤光栅LPFGphaseshort(Fiber-optic long-period fiber grating LPFGphaseshort)

绘制庞加莱截面图的小程序，可以随便修改。 (Poincare mapping sections of small procedures, can be arbitrarily amended.)

运用平面波展开法模拟光子晶体光纤中的带隙结构(The use of the plane wave expansion method photonic crystal fiber bandgap structure)

说明：  西储大学轴承数据，故障特征频率明显，与理论值基本符合。(The bearing data of Xichuan University have obvious fault characteristic frequency, which is basically in accordance with the theoretical value.)

- K means algorithm is performed with different initial centroids in order to get the best clustering. - The total cost is calculated by summing the distance of each point to its cluster centre and then summing over all the clusters.Based on the minimum overall cost achieved during each iteration of iterKMeans the pixel assignment to their respective clusters are made and final compressed image is obtained. This algorithm will run slower as the number of clusters , size of the image and number of iterations increase.

Enterprise Cloud Computing_ Technology, Architecture, Applications

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)

Sensorless Speed and Direct Torque Control o Surface Permanent Magnet Synchronous Machines using an Extended Kalman Filter

说明：  rsa示例，实现了加密和解密的基本功能，供大家参考(rsa example, to achieve the basic functions of encryption and decryption, for your reference)

Intelligent control - excercise 4