资源列表
fft
- FFT算法实现。代码清晰，是初学FFT算法的最佳参考资料。采用CB编写。-FFT algorithm. The code is clear, is the best resources for beginners FFT algorithm. Using CB.
SOFM_NetWork
- SOFM人工神经网络程序，能构自组织、无导师信号的情况下进行学习。-SOFM neural network program that can compose the self-organizing, no teacher signals under the situation of learning.
analysis_prog
- 用EEG数据结合机器学习算法开发人工智能工具-Combined with the EEG data machine learning algorithm development of artificial intelligence tools
pacman
- Pacman 智能体将找到通过迷宫世界的路径, 既包括到达一个指定的位置，也包括高效地搜集食物。你需要建立通用的搜索算法，并将其应用到Pacman场景中。-Pacman agent will find the path through the maze of the world, both to reach a designated location, but also to collect food efficiently. You need to build a general search
NSGA-II
- 多目标整数规划的遗传算法NSGA-IImatlab源代码，主程序、初始化、计算适应度、排序、选择、交叉变异、重组，最后得到Pareto前言。可以跑通，下载即用，具体方法介绍博客上文章上都有。-Multi-objective integer programming genetic algorithm NSGA-IImatlab source code, the main program, initialization, calculate fitness, sorting, selection,
SVM
- 该例是对SVM分类机制的精辟分析，能帮助无助的初学者增强信心。-The case is a penetrating analysis of the mechanism of SVM classification, also can help beginners to enhance confidence.
1
- 单机械臂自适应模糊控制程序 讲模糊算法和自适应算法结合 适应性好 鲁棒性较强-Single arm adaptive fuzzy control program speaks combination of fuzzy adaptive algorithm and adaptive algorithm good good robustness
3
- 机器人PD控制程序 控制算法简单 很好实现 并且能够很好实现控制要求-PD robot control program algorithm is simple to implement and can implement good control requirements
4
- 工作空间机械手的神经网络自适应控制程序 加入神经网络智能算法 可以很好地逼近模型实例 -Workspace robot neural network adaptive neural network control program added intelligent algorithm can approximate model instance
5
- 基于名义的机器人滑模控制 采用滑膜控制 可以很好地克服外界干扰 对控制的实时性和稳定性有提高-Based on the name of the robot is controlled by sliding synovial control may well overcome external interference and stability of the real-time control has been improved
test_LSH
- 局部敏感哈希（LSH）算法，vs2008实现。-Similarity Search in High Dimensions via Hashing
PSO_basic-code-for-tutorial
- 标准微粒群算法，利用matlab直观表示，添加测试函数-Standard particle swarm algorithm, the use of MATLAB intuitive representation, adding test function