control toolbox based on neural network

基本遗传算法,用来求解函数的最大值!在VC和TC下均可实现.-basic genetic algorithm used to solve the function of the maximum! And the VC can be achieved under TC.

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

这是一个朋友做的人脸检测软件，是基于OpenCV 做的，很具有参考价值-This is a friend to do face detection software is based on OpenCV do, it is very valuable reference

一个使用Java实现的人工智能的图搜索策略程序――酒九宫图问题 人工智能－图搜索策略－演示程序－使用说明 程序简介 在人工智能领域，对隐式图的搜索是求解问题的一种基本方法，本程序通过使用多种图搜索策略，对 重排九宫问题进行求解，演示了“广度优先搜索”、“深度优先搜索”、“有界深度优先搜索”、 “最好优先搜索”和“局部择优搜索”五种基本的图图搜索策略。 整个程序使用了动画技术，界面设计美观友好，使用方便。-use a Java artificial intelligence plans Search Strategy-- Liquor JiuGongTu problems of artificial intelligence-map search strategy- Demonstration Program-use guide in the field of artificial intelligence, the implicit search of the plan to solve the problem is one of the basic methods, the procedures through the use of multiple map search strategy, the rearrangement JiuGongTu problem solving, presentation of the "breadth- first search," "depth-first search", "bounded depth-first search", "best-first search" and "partial selection of the best search" five basic map search strategy. The whole process of using animation, interface design aesthetic friendly, easy to use.

这是用matlab编写的用遗传算法优化神经网络的程序-using Matlab is prepared by using genetic algorithm optimization procedures for neural networks

这是bs球队的仿真2D比赛程序，其中的智能算法和强化学习算法值得借鉴。-This is bs tournament team 2D simulation procedure, in which intelligent algorithms and reinforcement learning algorithm is worth learning from.

神经网络 MCP运算法-neural network algorithm

基于熵函数的语音端点检测方法.rar格式为ｖｉｐ-voice endpoint detection methods. Rar format vip

A*算法是，最经典的寻路算法，广泛用于游戏人工智能领域。-A* algorithm is the most classic Routing algorithm, widely used in the field of artificial intelligence game.

最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. -The newest work tools of svm,it will be very convenient to have it.