资源列表
K-means
- 模式识别中聚类分析经典算法，K-均值算法，C语言编写，可以读入文件，处理任意维数和任意个数的特征向量，附有测试数据。-The classic pattern recognition, cluster analysis algorithm, the K-means algorithm, written in C language, can read the file, handle any number of dimensions and any number of feature vectors
SS
- scatter search algorithm and neural network
nn_gzzy
- 本源代码实现了基于BP网络的大型风机智能故障诊断。充分的文档对问题及其操作进行了说明并显示了结果，且对结果进行了分析。-The origin code to achieve a large fan intelligent fault diagnosis based on BP network. Fully document the problem and its operating instructions and display the results, and the results wer
HMM-Model
- 采用隐马尔可夫模型对股票市场走势进行预测-Stock Market Forecasting Using Hidden Markov Model
Slam1D1
- 概率机器人基于卡尔曼滤波器实现实时定位和地图创建（SLAM）的算法，用matlab编写，涵盖了机器人一维场景。-mapping algorithm based on the Kalman filter. Robot work enviroment is 1D.
Slam3D1
- 概率机器人基于卡尔曼滤波器实现实时定位和地图创建（SLAM）的算法，用matlab编写，涵盖了机器人三维的场景。-mapping algorithm based on the Kalman filter . Robot work is 3D.
liziqun
- 用粒子群算法求解多峰多极值函数的全局最优解-Particle swarm algorithm for solving multi-modal global optimal solution of the extremal function
moniduihuo
- 用模拟退火算法求多峰多极值函数的全局最优解-With simulated annealing algorithm and multi-modal global optimal solution of the extremal function
VC
- 蚁群算法(ant colonyoptimization，ACO)，又称蚂蚁算法，是一种用来在图中寻找优化路径的机率型技术。它由MarcoDorigo于1992年在他的博士论文中引入，其灵感来源于蚂蚁在寻找食物过程中发现路径的行为。-Ant colony algorithm (ant colonyoptimization, ACO), also known as the ant algorithm is used to figure the probability of technology to
gmm
- gmm 聚类算法代码,这是一个matlab写的gmm聚类代码-gmm
BP
- 本程序将用BP神经网络拟合函数：Y=sin(X)\n\n 对神经网络进行训练-The program will use the BP neural network fitting function: Y = sin (X) \ n \ n neural network is trained
Q-learning_pendulum
- 采用强化学习算法对倒立摆的摆动过程进行学习，通过学习使其保持平衡状态-Reinforcement learning algorithm to learn the inverted pendulum swing process, by learning to balance state