MATLAB_GUI

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)

此文档介绍了Matlab软件的更重要的另外一种算法--插值与拟合。(This document describes the Matlab software more importantly, another algorithm- interpolation and fitting.)

MATLAB图像标记，可以对图像中的你感兴趣的区域进行提取和标记，为后续分析提供帮助，程序可运行(MATLAB image tag, the image of the region of interest you can be extracted and tag, provide help for subsequent analysis, program can be run)

此源码为关于模糊控制的源码，是关于二维模糊控制的(on this source of the source of fuzzy control, fuzzy control on the two-dimensional)

PSO算法和最速下降法混合算法，求解单目标优化问题，测试函数是非线性方程组，解决MinF(x)的问题。(PSO algorithm and steepest descent method hybrid algorithm for solving single-objective optimization problem, the test function is non-linear equations, solving MinF (x) of the problem.)

lab story in matlab at istanbul techn. uni

Peter I. Kattan MATLAB Guide to Finite Elements An Interactive Approach

多层次合作型协同演化算法，自适应分组规模的方法首次在CC中被应用(Multi-level cooperative co-evolutionary algorithms, adaptive packet size approach was first applied in the CC)

两电平和三电平的仿真模型和配套论文，便于学习，三电平的逆变器仿真(Three-level Inverter Simulation)

SLIDING MODE CONTROL OF A MAGNETIC LEVITATION SYSTEM