用mathlab编写的经典的模拟退火应用程序，包括图着色问题，最大截问题等...

　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

使用遗传算法、模拟退火算法求解设计结构矩阵，并进行对比分析-The use of genetic algorithms, simulated annealing algorithm design structure matrix, and a comparative analysis of

这是一个parzen窗口分类算法，希望能给大家的学习有所帮助-This is a Parzen window classification algorithm, we hope that they will be helpful to the learning

基于RBF网络的机器人手臂运动关节的仿真实例。利用RBF网络实现机器人手臂运动关节的仿真实例建模。-RBF network based on the movement of the robot arm joint simulation. RBF network using the robot arm joint movement simulation modeling.

扩展遗传算法SPEAII(Strength Paretor Evaluation Algorithm)算法的代码实现,良好的程序框架，便于向其他应用领域扩展，建议大家使用。-Extended genetic algorithm SPEAII (Strength Paretor Evaluation Algorithm) algorithm code, a good procedural framework to facilitate expansion to other application areas, it is recommended the use of everyone.

自适应步长BP神经网络训练算法，采用最小误差和梯度下降法更新权值- BP neural network training anaysis， realized by using error feed back, gradient descent applied updating of synaptic weights

这是图象处理模式识别一书的源代码，包括C++和MATLAB的程序，对于做这方面的研究人员来说，会很有帮助的。-This is an image processing pattern recognition on the source code, including C and Matlab procedures for doing this kind of research personnel, will be very helpful.

模拟3G环境，测试可伸缩视频码流，适合JSVM开发者-Analog 3G environment, testing, scalable video stream, suitable for JSVM developers

模式识别源程序，希望大家能够喜欢，配套书籍是模式识别-Pattern recognition source code, hope that we can like it, matching books are Pattern Recognition

神经网络算法原程序内容较详细。希望大家仔细讨论这个问题。-neural network algorithm original program content in more detail. We hope to discuss this issue carefully.