Automatic-control1

这是一个关于遗传算法解觉非线性函数优化问题的函数，通过它，你可以自己设计初始化参数来求解问题(It is used for some very different problems such as some unliner function)

考虑一个线性自适应均衡器的原理方框图如《现代数字信号处理导论》p.275自适应均衡器应用示意图。用LMS算法实现这个自适应均衡器，画出一次实验的误差平方的收敛曲线，给出最后设计滤波器系数。一次实验的训练序列长度为500。进行20次独立实验，画出误差平方的收敛曲线。给出3个步长值的比较。(consider a linear adaptive equalizer block diagram as the principle of "modern digital signal processing" Introduction to the p.275 adaptive equalizer application schema. LMS algorithm with the adaptive equalizer, painted a square experimental error of convergence curve, given final design filter coefficients. Experimental a length of the training sequence to 500. Conduct 20 separate experiments, painted square error of the convergence curve. Given three step-value comparisons.)

MATLAB图形处理源码程序经典实例MATLAB graphics classic example of source program(MATLAB graphics classic instance of the source program MATLAB graphics classic example of source program)

this is about optimization papaer

毕业设计中，用Matlab实现了机器人最优路径规划中的全局路径规划，算法采用的是基于方向权的 VmGCiG 二叉树算法，同时结合了哈夫曼编码二叉树的 XblfQFs综合。(Graduation design, using Matlab to achieve the optimal path planning of robot global path planning algorithm uses a binary tree algorithm based on the direction of the right VmGCiG , combined with the binary tree Huffman coding XblfQFs comprehensive.)

Cognitive Science SDM code

利用自相关法，计算基音周期，结果给出对应的时间值坐标。(The pitch period is calculated by the autocorrelation method, and the corresponding time value coordinate is given.)

samsung s3c2450 info

BP神经网络：是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。(BP neural network: a Press the front back propagation algorithm to train multilayer feedforward network is one of the most widely used neural network model. BP network can learn and store large amounts of input- output mode mappings without prior reveal mathematical equations that describe this map. It' s learning rule is to use the steepest descent method, through a reverse spread to constantly adjust the network weights and thresholds, so that the minimum squared error of the network. BP neural network topology, including the input layer (input), hidden layer (hide layer) and output layer (output layer).)

ieee5节点牛顿拉夫逊法潮流计算程序 使用电力系统标准模型(load flow matlab)