资源列表
Particle-swarm-optimization-
- matlab粒子群经典算法，包含神经网络各个经典的小程序，环境为matlab-matlab Artificial neural network algorithm for the classic
pso
- pso(粒子群算法）优化神经网络 MATLAB的m 文件
N_Number
- N数码难题，能自动寻找最优路径解决多数码难题，人工智能的c#实现版本-N digital problem that can automatically find the optimal path to solve the problem of multi-digital, artificial intelligence c# implementation version
PSOTools
- matlab编写的一个PSO工具箱，很实用。-PSO matlab prepared a toolbox, very practical.
BP神经网络运动状态分类
- 该程序可以通过训练集对所构建的BP神经网络进行训练，并能通过测试集，即对不同的运动状态进行分类。(The program can train the constructed BP neural network through the training set, and can classify the different motion states through the test set.)
nnppt
- 《神经网络设计》的课件，采用英语授课的课件，讲述怎样设计神经网络。- Neural Network Design courseware, courseware teaching in English, about how to design neural networks.
Astar_Chess
- 人工智能导论从课程A星算法实现的五子棋程序C-Artificial Intelligence Introduction A star algorithm from the course to achieve the the Gobang program C++
K-expected
- 这是K—均值二维算法的C++实现，模式识别用的-This is a two-dimensional algorithm of K-means C++ achieved, and pattern recognition with
20090303EightPuzzle.
- 多媒体课内实验：用C语言实现的八数码问题。-Multimedia curricular experiments: The C language implementation of the eight digital problem.
TINYSLAM
- 机器人定位算法tinyslam的c语言实现-Robot localization algorithm tinyslam of c language
Guided_Local_Search_to_the_TSP
- 与禁忌搜索动态修改邻域结构的方法不同, GLS的基本原则是通过不断改变搜索空间的地形(landscape)来帮助搜索过程逐步移出局部极值的, 也就是说搜索过程中解结构和邻域结构将保持不变, 而目标函数将被动态修改, 以使得当前的局部极值不再具有局部最优性。-Guided Local Search sits on top of local search heuristics and has as a main aim to guide these procedures in exploring e