资源列表
renlianshibie
- 人脸识别的C++源码神经网络的输入可以是降低分辨率的人脸图像、局部区域的自相关函数、局部纹理的二阶矩等。这类方法同样需要较多的样本进行训练,而在许多应用中,样本数量是很有限的。-The neural network s input can be lower resolution of face image, local area of the autocorrelation function, local texture of second order moment, etc. This kin
The_Minds_I-Hofstadter_and_Dennett.pdf
- The_Mind s_I-Hofstadter_and Dennett,人工智能阅读书籍-The_Mind s_I-Hofstadter_and Dennett,AI reading book
K-shortest-Path-tracking
- 参考《Multiple Object Tracker Using K-Shortest Paths》实现的代码,使用K最短路径实现多目标追踪功能。-Reference " Multiple Object Tracker Using K-Shortest Paths" to achieve code, use the shortest path K multi-target tracking capabilities.
yicuansuanf
- 遗传算法的著作,对学习遗传算法有很大帮助。适合入门者学习-GA works on genetic algorithm learning of great help. Suitable for beginners to learn
Genetic-Algorithms
- 遗传算法原理及应用, 遗传算法原理及应用-Genetic Algorithms
cj32432432
- 心脏的360度图形显示 在右下的圆上点击可看到360度的心脏图形-heart of a 360-degree display in the lower right circle click can see 360 degrees in the heart graphics
Graphic
- 人工势场法用于局部搜索,A*算法用于全局搜索,结合二者-Artificial potential field method for local search, A* algorithm for global search, combine both
IOC_ga
- 基于遗传算法求解背包问题,本程序采用c++编写,求解不同问题是只需修改物品的重量、价值-Knapsack problem based on genetic algorithm, the program uses c++ written to solve different problems is to simply change the weight of worth
erjiezhui
- 二阶锥均衡约束优化问题在工业工程,机器人研制以及连续逆优化等领域有着广泛的应用.本论文首先研究二阶锥互补集合的变分性质,基于这些性质研究二阶锥均衡约束优化问题的最优化性条件、二阶锥互补集合的Aubin性质以及线性规划与线性二阶锥规划逆问题的求解,其主要结果可概括如下: 1.第2章基于变分分析的经典理论,研究了二阶锥互补集合的变分性质,包括二阶锥互补集合切锥与法锥的计算公式以及二阶锥法锥映射coderivative的计算表达式,这些结果为后续的讨论提供了基础. 2.第3章在前一章研究的基础上,研究
Programming-Mobile-Robots
- 这本书的目的是全面介绍面向对象的C++编程和由MobileRobots先锋公司生产的机器人的控制类,它包括ARIA以及更流行、更通用的开源服务器Player。-This book is intended as a comprehensive guide to object-oriented C++ programming and control of the Pioneer class of robots made by MobileRobots Inc. It covers both the
python_beginner_tutorial
- python的入门书籍,pdf版完整版。英文版 适合与想要学习python的编程基础薄弱者(Python entry books, PDF version of the full version)
Bayes
- 概率统计的bayes方法识别手写数字,算法简单,内附测试图-Bayes methods of probability and statistics to identify digital