Origin 是数据处理软件，这是软件的操作训练

因为递归程序运行的效率一般都比较低,本程序用java语言来实现TSP递归程序的优化-because recursive program run average efficiency are low, the procedure used java language to achieve TSP recursive process optimization

基于肤色和模板的人脸检测MATLAB源代码.rar具有一定参考价值。-and template based on the color of face detection MATLAB source. Rar certain reference value.

通过人工神经网络实现异或问题的解决，用visual c++开发-through artificial neural network or differences in the solution of problems with the development of visual c

RBFNN一步预测混沌序列性能程序,可以直接运行,效果不错!-RBFNN step chaotic sequence performance prediction procedures, can be directly run, good results!

曲线的平滑，应用贝塞尔曲线进行平滑，点击要平滑的点即可-With this program you can smooth your data automatically only by selecting the area to be smoothed with 2 clicks. Then INTERP1 is used to smooth. The operation is repeated until you press ENTER.

3。《遗传算法与工程设计》，[日]玄光男着，程润伟着 科学出版社 2000年第一版 本书着重从计算方法和应用技术的角度对遗传算法作了深入浅出的讨论。书中介绍了遗传算法的基本概念和结构，解决约束优化和组合优化问题的方法，以及遗传算法在生产调度、可靠性设计、交通运输、设备布局等一系列工业工程问题中的应用。本书可作为高等院校的工业工程、管理科学、运等学、计算机科学和人工智能专业的本科生和研究生的教科书。对于系统分析员、运行研究员、管理科学家以及在工业工程与运筹学领域里从事最优化问题研究和应用的专业技术人员，本书也不失为一本内容丰富且实用性较强的参考书。-3. "Genetic Algorithms and Engineering Design", [] to Yuen-man, Guilin-a 520-531 2000 version of the first book to focus on calculation methods and application of a technical point of view for Genetic Algorithm a simple discussion. The book on genetic algorithms, the basic concepts and structures, optimization and constraint solving combinatorial optimization problems. and the genetic algorithm in production scheduling, reliability design, transportation, equipment and layout of a series of industrial engineering problems applications. The book can be used as colleges in the industrial engineering, management science, transport and other science, computer science and artificial intelligence professi

遗传算法中的NSGA2算法实现，解决多目标遗传算法求解Pareto近似解，具有很好的运行效果-Genetic Algorithms NSGA2 algorithm to solve multi-objective Pareto genetic algorithm approximate solution, with very good operating results

八数码难题求解程序本程序所采用的启发函数,本人不能证明它能解决任何的八数码难题,如果对于较难的问题会产生很多节点,有可能会使空间不足,所以尽量不要出太难的问题难为它.希望广大的人工智能爱好者能写出更好的启发函数.-eight digital problem solving program of the procedures used by the heuristic function, I can not prove that it can resolve any of the eight digital problem, if for the more difficult problems will have many nodes, it is likely to lack of space, so as not up to the difficult problems it hard. I hope the love AI who better to write a heuristic function better.

用模糊控制方法逼近函数z=x+y，效果比较好-Fuzzy control method with approximation function z = x+ y, the effect is better

软件无线电中信号调制方式的识别――用人工神经网络的方法-Software Defined Radio Signal Modulation Recognition- Using Artificial Neural Networks approach