matlabGATOOL

数值分析上机题一些算例的分析，希望都有些同学有帮助。(Some numerical examples on the local analysis questions, students want to have some help.)

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)

使用MATLAB进行的SIMULINK仿真，实现了磁悬浮PID控制(SIMULINK simulation with MATLAB realizes the PID control of magnetic levitation)

说明：  成功失败法 求极小值程序示例 此程序为主函数(France seeking the minimum of success or failure of this process-oriented function program sample)

说明：  基于蚁群算法解决TSP问题的三个matlab源程序，请多多交流！(TSP problem based on ant colony algorithm to solve the three matlab source, to a lot of communication! )

改进的粒子群算法--自适应粒子群算法，在普通的粒子群算法里面加入了熵和平均粒距的概念，收敛速度大大提高，而且不容易陷入局部最优，能更有效的解决复杂问题。(improved PSO-- Adaptive PSO. In a normal PSO which joined the entropy and the average particle from the concept of convergence speed, it is not easy to find the global optimum, the more effective solutions to complex problems.)

关于用遗传算法改进BP神经网络的matlab实现(转引) ga优化神经网权值&阈值程序。 优化的基本原理和过程很多论文可以查到，在此不必赘述我就把用gaot5的小程序贴在下面吧，也是y=1/x(为看的方便，比较繁杂的也有) (About matlab improved BP neural network using genetic algorithm implementation (quoted) ga optimizing neural network weights & Threshold Program. Optimization of the basic principles and procedures can be found in many papers, this does not have to go into details, I' ll stick with gaot5 small program below it, is y = 1/x (for watching convenience, there are also more complicated))

用计算机方法来进行有用的图像识别，以方便大家查阅。(Image Recognition)

有均匀线阵的CRB曲线，线性调频脉冲压缩的Matlab程序,小波包分析提取振动信号中的特征频率。( There ULA CRB curve, LFM pulse compression of the Matlab program, Wavelet packet analysis to extract vibration signal characteristic frequency.)

粒子群优化算法matlab程序，简洁易懂，适用于初学者！(Particle Swarm Optimization algorithm matlab program)