资源列表
bayesian1
- 用贝叶斯算法解决数据挖掘中分类问题，先用训练集进行训练，再用测试集进行测试-Bayesian data mining algorithm to solve classification problems in the first training set used for training, re-use test set for testing
CHAPTER4
- 本文讨论了神经网络PID控制策略，提出了一种单神经元自适应PID控制器，给出了控制模型，探讨了单神经元自适应PID控制学习算法，通过修改神经元控制器连接加权系数 ，构成了自适应PID控制器。利用神经网络的自学习能力进行PID控制参数的在线整定，并使用了MATLAB软件进行了仿真研究。比较传统PID控制器与单神经元自适应PID控制器两者的仿真结果表明，神经网络PID控制器参数调节简单，具有很高的精度和很强的适应性，可以获得满意的控制效果。-This paper discusses the nerv
matlabforVRP
- 解决车辆路径问题的MATLAB代码，经过测试可以使用。算法采用遗传算法，对于写人工智能领域的相关论文有很大的帮助-Solve the vehicle routing problem with the MATLAB code that can be used after testing. Algorithm using genetic algorithms, artificial intelligence for the written papers of great help
geneticalgrithmoptimizeRBF
- matlab源码，运用遗传算法 优化RBF隐层神经元的中心值，宽度，和权值，具有很强的学习性。-matlab source code, the use of genetic algorithm optimization of RBF hidden layer neurons in the central value, width, and weight, has a strong learning.
AntSystem
- 一个较好的蚁群MATLAB程序，附地图。-In this M-file, the implemention of ACO Algorithm is given with the support of reference papers listed. You can easily use it as following command to see the pictures of result and the iterative playing course.
BPIdentifyNum
- BP神经网络三层感知器数字识别系统 可以识别0-9这个十个数字-BP neural network to identify the number of three-sensor system to identify the dozens of figures 0-9
chap6_3
- 采用DRNN神经网络整定的PID解耦程序，非常实用的哦。-DRNN using neural network-tuning PID decoupling of the process, oh, very practical.
FNNjieousuanfa
- 给出了一模糊神经网络解耦控制算法,对含有噪声的二阶系统进行控制,并与PID控制结果进行了比较,效果不错!-Given a fuzzy neural network decoupling control algorithm, controls the second-order system for noise control and PID control and the results were compared with the effect of good!
genetic_algorithm-Solve-the-TSP-problem
- 基于遗传算法的50个城市TSP问题的求解，可推广至类似NP-hard问题。-Genetic Algorithm Based on 50 cities TSP problem solving can be extended to a similar NP-hard problem.
paperAPF
- 大量的应用势场原理的科技文章。可以帮助您迅速掌握先进的人工势场法在移动机器人路径规划中的应用与研究状况。-A large number of potential field of application of the principle of scientific articles. Can help you quickly master the art of the artificial potential field method in mobile robot path planning
rl_cmac
- 强化学习算法。通过cmac神经网络实现强化学习状态空间到动作空间的映射。-Reinforcement learning algorithm. Cmac neural networks through the reinforcement learning state-space to the action of the mapping space.
python
- libsvm在Python下的源代码，可以在Pyhon下直接运行，功能强大-under the libsvm in Python source code, can be run directly Pyhon powerful