guanlian

基于matlab的椭圆型低通滤波器设计程序(Based on matlab elliptic low-pass filter design)

很不错的图像分割matlab源代码，代码相对比较简单，易于理解(Very good image segmentation matlab source code, the code is relatively simple, easy to understand)

IEEE 13 bus with double tuned filter at 3rd bus

steps - 1. run DigitRecognizer.m 2. mode to run a. Test Mode input pad will open with axes having a red dot. left-click mouse and drag(dont unclick) mouse to draw a numeric digit. if you unclick mouse it won t draw anything. if you want to continue drawing, click again on any red place on axes and start dragging. once done, click submit. it will give you result. b. Training Mode input pad will open with axes having a red dot. draw a number and click submit. when promted, enter the value you drawn. if you wish to continue training, click YES and repeat. if you click No, a feedforward neural network will be trained and saved, you can test it.

说明：  国内著名R语言入门教材清华大学出版社 介绍R语言基本应用，同时结合相关统计学理论进行实例分析(Chinese famous textbook of R introduce R and example analysis)

预测函数控制算法在单容液位定值控制中的应用.在DCS实验系统上实现算法(Predictive Functional Control Algorithm algorithm DCS experimental system in a single volume level setting control.)

波达方向估计；MUSIC算法；改进MUSIC算法；修正MUSIC算法(Key words：Direction ofArrival(DOA)estimation；Multiple SignalClassification(MUSIC)algorithm；improved MUSIC algorithm；modified MUSIC algorithm)

支持向量机分类源程序，需要的同志们可以下载试一下(Support vector machine classifier source code, you can download the comrades need to try)

BP（Back Propagation）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)。 通过对信息的提取以及记忆，用作分类、聚类、预测等。 (BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)

matlab实现BP模型。注释明白直观，使用方便。(Matlab implements BP model. The notes are clear, intuitive and easy to use.)