SecondOrderSinkModel

Matlab编程实例最常用的Matlab实例最基本的Matlab实例(Matlab Matlab programming examples most commonly used instance of an instance of the basic Matlab)

《MATLAB时尚百例实例》实例70-83()

对二维图像进行消噪、融合、分割，对对比度，亮度等进行变换的编码源码(Two-dimensional image denoising, integration, segmentation, on the contrast, brightness, etc. Transform source code)

关于kl变换在matlab上的实现，做人脸识别可以用到。(KL transform, matlab realize)

This code demomstrates an improved algorithm based on the local binary fitting (LBF) model in Chunming Li et al s paper: "Minimization of Region-Scalable Fitting Energy for Image Segmentation", IEEE Trans. Image Processing, vol. 17 (10), pp.1940-1949, 2008. Usage: These codes can be used for Matlab 7.0.4 or higher versions in Windows. Run the Demos in the M-files for several test images. Once an image comes out, click the mouse to generate a polygon as the initial contour: left click to get a number of points, then right click to get the end point. The number of iterations may need to be increased if the initial contour is too far away from the desired object boundary.

This file contains a summary of what you will find in each of the files that make up your SearchPath application.(This file contains a summary of what you wil l find in each of the files that make up your Searc hPath application.)

Describe Describe Describe Describe Describe Describe Describe Describe Describe Describe

神经网络训练的matlab M文件仿真例子。这个例子里面可以看到训练后最终拟合曲线是很接近给定样本的。(Matlab M file of the neural network training simulation examples. This example, which can be seen the training after the final fitting curve is very close to a given sample.)

In order to minimize power losses caused by high current and improve the voltage profile in the network distribution, the introduction of dispersed generations also called productions decentralized in distribution network (DG) plays an important role. The installation of DGs directly affects the power requested or purchased. The sizing and placement of DGs in the system must be optimal because a wrong choice has a negative impact on the system behavior. To solve this combinatorial problem, an algorithm known as Firefly algorithm is proposed in this paper. This is a meta-heuristic algorithm inspired by the behavior of fireflies flashing. The main objective of firefly flash is to act as a signaling system to attract other fireflies. Networks tested IEEE69-bus and IEEE33-bus are used to evaluate the effectiveness of this method. The results are compared with those obtained by genetic algorithm (GA) to IEEE69-bus, and Shuffled frog leaping algorithm (SFLA) for IEEE 33-bus.

Simpson’s Rule Intgral