SVR-NONLINEAR

matlab宝典帮助您更好的更快的学习好matlab软件(matlab Collection)

实现求模PI控制以及dq变换，对于学习这方面的同学很有用(PI dqtransformationg in matlab very useful)

电力系统可靠性建模仿真分析，用matlab编程仿真分析(Power system reliability modeling and simulation analysis,Matlab programming simulation analysis)

采用最新的canny算子实现了边界拟合程序给定图形后可以直接使用(use of the latest canny operator realization of the border fitting procedures to be determined after the graphics used directly)

my_seg_for_post_filtering_it is used for segmentation

说明：  智能优化算法： 粒子群优化算法（PSO）应用于神经网络优化程序。分为无隐含层、一隐含层、二隐含层。运行DemoTrainPSO.m即可。 程序来自：Brian Birge NCSU(intelligent optimization algorithms : Particle Swarm Optimization (PSO) used neural network optimization procedures. Divided into hidden layer, a hidden layer, hidden layer. DemoTrainPSO.m can run. Proceedings from : Brian Birge NCSU)

OTSU METHOD FOR THRESHOLDING

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).)

混合储能系统平抑风力发电输出功率波动控制方法设计(Hybrid energy storage system to stabilize fluctuations in wind power output control method designed)

一段matlabGUI图像处理系统的简单代码，主要描述打开，保存，退出的代码(image processing)