以某区水文数据为例，在matlab7中构建BP神经网络，进行仿真预测。...

关于机器人的手臂程序，包含最基本的移动，-Procedures on the robot arm, including the most basic mobile,

采用MFC技术，实现蚁群算法和遗传算法，形象化了算法实现的过程，有助于我们的学习和理解。-Use of MFC technology to realize ant colony algorithm and genetic algorithm, visualization of the algorithm implementation process, contribute to our learning and understanding.

用的是倒谱,加神经网络~不过没有成功,稳定性很差-using the cepstrum, neural network to increase but not a success, poor stability

该进化算法的实现基于VC++6.0的开发平台，主要是用算子改进进化策略算法。-The evolutionary algorithm based on VC++ 6.0 development platform, the main operator is used to improve the evolutionary strategy algorithm.

人脸检测源代码,是人工智能检索方面比较常用的,大家下班啊-Face Detection source code, artificial intelligence search area is relatively common, we work ah

自适应遗传算法，采用C编写，比较适应开始学习遗传算法的人学习-Adaptive genetic algorithm, using C write, compare the genetic algorithm to adapt to start learning to learn

小波神经网络，两者相互结合，程序简洁易懂！-Wavelet neural network, the two interact and procedures easier to understand!

包含FuzzyKMeans, FuzzyGK, FuzzyR等算法，拓展了weka（本站可以下载）-Contains algorithm such as FuzzyKMeans, FuzzyGK, FuzzyR. Extends weka(it is can be download form this site)

统计学习理论是建立在一套较坚实的理论基础之上的，为解决有限样本学习问题提供了 一个统一的框架。它能将很多现有方法纳入其中，有望帮助解决许多原来难以解决的问题（比 如神经网络结构及参数选择问题）；同时。在这一理论基础上发展了一种新的通用学习方法： 支持向量机（Support Vector Machine，SVM）。它己表现出很多优秀的性能，并已经成为当 今机器学习领域的研究热点。-Statistical learning theory is based on a more solid theoretical basis, in order to solve the learning problems of limited samples provides a unified framework. It will be incorporated into many existing methods, which could help solve many of the original difficult to resolve problems (such as neural network structure and parameters selection) the same time. Developed on the basis of this theory, a new universal learning methods: support vector machine (Support Vector Machine, SVM). It has been shown a lot of excellent performance and has become the hotspot of machine learning research in the field.

基于神经网络的乒乓球机器人乒乓球轨迹预测代码，神经网络的参数可能有待进一步改进-code of PingPong Robot trajectory predicting based on neural network