该过程是基于网络的控制系统。系统由O组成。

关于机器人控制，算法是可以实现的，希望可以给大家帮组-On the robot control algorithm can be achieved, I hope everyone can help Group

用c＋＋写的用于FPGA设计中布图布线的工具源码，有几万行程序，包含文档-using c++ to write for FPGA design the layout of the wiring tools source, there are tens of thousands of procedure, the document contains

　人工神经网络(Aartificial Neural Network，下简称ANN)是模拟生物神经元的结构而提出的一种信息处理方法。早在1943年，已由心理学家Warren S.Mcculloch和数学家Walth H.Pitts提出神经元数学模型，后被冷落了一段时间，80年代又迅猛兴起［1］。ANN之所以受到人们的普遍关注，是由于它具有本质的非线形特征、并行处理能力、强鲁棒性以及自组织自学习的能力。其中研究得最为成熟的是误差的反传模型算法(BP算法，Back Propagation)，它的网络结构及算法直观、简单，在工业领域中应用较多。-Artificial Neural Networks (Aartificial Neural Network, under the short title of ANN) is a simulation of the structure of biological neurons and the information put forward a method of treatment. At early 1943, by Warren S. Mcculloch psychologists and mathematicians Walth H. Pitts proposed mathematical model of neurons, was left out in the cold for some time, and the rapid rise of the 80" s [1]. ANN because the general concern of the people is the essence of it is because of the non-linear characteristics of parallel processing capabilities, strong robustness and self-organizing capacity of self-learning. Research one of the most sophisticated are the error-propagation model of the algorithm (BP algorithm, Back Pro

灰度变换的实例程序，其中的CDib类可以直接应用于其他的图像处理程序。-gray transform examples procedures, which the CDib categories can be directly applied to other image processing.

clusterfilesrev 最新的分类聚类代码，delphi编写-err

Fisher判别，用于模式识别的Fisher线性判别-Fisher Discriminant for pattern recognition Fisher Linear Discriminant

ISP(独立集问题)的模拟退火算法程序源码-ISP (Independent Set Problem) procedure of simulated annealing algorithm source code

模拟退火算法用于求解旅行商问题的matlab源程序-simulated annealing algorithm for solving the traveling salesman problem Matlab source

libsvm中文声明对流行的SVM软件libsvm的详细说明会对大家有所帮助

pso优化算法的vc++源程序。在vc.net2003下面通过。 建议：看代码之前，请先弄明白pso是怎么回事。然后请对应着来：程序中用Agent代表一只鸟，PSO代表鸟群。阅读源代码，不要顺着看，先看main(),然后按照出现的东西的顺序，一个一个得来。-PSO optimization algorithm vc++ source. In the following vc.net2003 through. Recommendations: look the code before you find out how the PSO story. Then corresponds to: Program with Agent on behalf of a bird, PSO representative of birds. Read the source code, do not look down, look at the main (), then follow the order of things emerging, one by one come.