资源列表
GAexample
- 该例应用于优化调度，可帮助新手们实现对遗传算法快速入门-This case should be used to optimize the scheduling,also can help beginners to achieve a quick start genetic algorithm
bp
- BP神经网络源代码程序，同时附有Sample数据供参考。-The BP neural network source code program, at the same time with the Sample data for your reference.
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
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
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
NSPSO
- 非支配排序的多目标微粒群算法NSPSO，在标准微粒群算法中加入NSGA2的思想-Multi objective particle swarm optimization algorithm based on non dominated sorting NSPSO, in standard particle swarm optimization, the non dominated sorting of NSGA2.