支持向量机Windows Svm

本例是本人写的遗传算法的最简单的一个实现，并且带有一个说明文档。用C语言编写，在TurborC中调试，由于当时在随机数产生上没有种种子，所以极易收敛，有兴趣可以种上种子试一下。-the cases I wrote is the most genetic algorithm to achieve a simple, and with a documented. C language, in which TurborC debugging, because the random number generator not all sons, so vulnerable convergence are interested can plant seeds try.

遗传算法进行优化神经网络结构-genetic algorithm optimization neural network architecture! !

有关遗传算法的源码-the genetic algorithm source code

人脸识别的核心源代码，PDF格式文件，采用特征脸方法。可供有兴趣的人阅读。-the core source code, documents in PDF format, the method adopted Eigenface. For those who are interested in reading.

人工智能编程示例-artificial intelligence programming paradigm

蚂蚁算法，c语言版，其中，‘F’点表示食物，‘H’表示窝，白色块表示障碍物，‘+’就是蚂蚁了。-Ant algorithm, c language version, of which,

一个自主机器人的电力传输线检查可引起电压的输电线路作为电源来源提出。该机器人采用电流互感器的主要促使目前从输电线路和远见功能浏览。结果表明，该机器人可以 自动沿着输电线路。-An autonomous robot for the power transmission line inspection that can induce the voltage from the transmission line as a power source is presented. The robot uses current transformer principal to induce the current from power transmission line and vision function to navigate. The results have shown that the robot can automatically move along the power transmission line.

用C撰写遗传基因法-C genes written law

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

本人调试的大作业（源程序模型+论文），主要包括PID控制、模糊控制、神经网络控制、遗传算法优化神经网络控制（使用了遗传工具箱GAOT）对同一系统所作的仿真比较，并加入饱和、死区、时滞等非线性后的响应，具体的分析比较过程论文中写的很详细。-I debug a big operation (source model+ Thesis), including PID control, fuzzy control, neural network control, genetic algorithm optimization of neural network control (using a genetic toolbox GAOT) on the same system simulation by the comparison, and to join saturation, dead zones, such as nonlinear time-delay after the response, the specific analysis of the comparison process paper written in great detail.