模式识别

张文修老师主编的详细介绍遗传算法及其数学基础的一本书，研究遗传算法的一本很好的参考书，特别推荐！-Edited by Prof. Zhang Wenxiu, detailed genetic algorithm and its mathematical foundations, a very good reference book to study the genetic algorithm, strongly recommended!

决策树分类C5.0算法的C语言实现源码！-C5.0 decision tree classification algorithm realize the C language source code!

电梯程序，包含了上、下、停留等功能。还有关于优先级的设置。-Elevator procedures included upper and lower, to stay and other functions. Also on the priority settings.

遗传规划算法的VC程序实现 智能算法：遗传规划，即关于GP的VC代码程序，在项目文件中包含了GP的程序设计代码和经典问题求解程序。可以参考该程序进行遗传规划的程序设计工作，用于自己的毕业设计中。-genetic programming algorithm for the VC program Intelligent Algorithm : genetic programming, on the VC GP code procedures, the project document contains GP programming code and classic problem solving process. Can refer to the procedures of genetic planning process design work for their graduation design.

遗传算法简称GA(Genetic Algorithm)，在本质上是一种不依赖具体问题的直接搜索方法。遗传算法在模式识别、神经网络、图像处理、机器学习、工业优化控制、自适应控制、生物科学、社会科学等方面都得到应用。在人工智能研究中，现在人们认为“遗传算法、自适应系统、细胞自动机、混沌理论与人工智能一样，都是对今后十年的计算技术有重大影响的关键技术”。-Referred to as genetic algorithm GA (Genetic Algorithm), in essence is a kind of do not rely on specific issues of direct search method. Genetic algorithm in pattern recognition, neural networks, image processing, machine learning, optimization of industrial control, adaptive control, biological sciences, social sciences and so on have been applied. Research in artificial intelligence, now that the " genetic algorithms, adaptive systems, cellular automata, chaos theory and artificial intelligence, are the next ten years of the computing technology have a major impact on the key technology."

一本不错的与神经网络相关的英文教材。介绍了多种神经网络算法及针对每种算法弱点的改进算法。-A good correlation with the neural network of the English teaching materials

一个关于指向插补和曲线插补的程序，本程序有一个菜单可以选择，曲线插补是哦可以选择是顺时针或者逆时针-On the point interpolation and curve interpolation procedure, this procedure can select a menu, curve interpolation is to choose Oh, is clockwise or counter-clockwise

遗传算法的示例- Heredity algorithm demonstration

Mitchell的《机器学习〉随书源码，非常不错-Mitchell"s "machine learning> With the source book, very good

粒子群算法工具箱，有DEMO程序，可以对16中常见函数测试，并附有神经元网络的训练算法-Particle swarm optimization toolbox, there are DEMO program, you can test for 16 common functions, together with the training algorithm for neural networks