tiaoshi

创新性的使用烟雾粒子浓度，来探测火灾，基于图像处理(Innovative use of smoke particle concentration, to detect fires, based on image processing)

这个是一个自己做的程序，可以进行相关的操作，初学者(This is a program to do their own, can be related to the operation, for beginners)

An important aspect of an ANN model is whether it needs guidance in learning or not. Based on the way they learn, all artificial neural networks can be divided into two learning categories - supervised and unsupervised. • In supervised learning, a desired output result for each input vector is required when the network is trained. An ANN of the supervised learning type, such as the multi-layer perceptron, uses the target result to guide the formation of the neural parameters. It is thus possible to make the neural network learn the behavior of the process under study. • In unsupervised learning, the training of the network is entirely data-driven and no target results for the input data vectors are provided. An ANN of the unsupervised learning type, such as the self-organizing map, can be used for clustering the input data and find features inherent to the problem.

说明：  使用粒子群算法解决10个城市的旅行商问题 可绘制图形(Use the particle swarm algorithm to solve traveling salesman problem of 10 cities can draw pictures)

说明：  《精通MATLAB 7.0混合编程》配套的源程序，本程序的调试环境为Windows XP + Matlab 6.5，个别程序在Matlab 7.0下调试通过(&quot Mastering MATLAB 7.0 Hybrid Programming&quot supporting source, the debugging environment for Windows XP+ Matlab 6.5, Matlab 7.0 for individual program through debugging)

RGB to LUV conversion in matlab

在MATLAB平台下，利用龙贝格公式和高斯公式，求解数值积分，源码(In the MATLAB platform, using Romberg formula and the Gauss formula, solving numerical integration, source code)

世界著名学者PROAKIS<数字通信>第四版上的几个配套matlab例程(world-renowned scholars PROAKIS)

Vehicle traffic counting by the use of image processing in Matlab

This file is fot ft2232 jlink.