资源列表
Amorphous
- 定位功能，解决你毕业设计的，代码问题。很实用的东西(localization,MCL,node,)
cskmeans
- k均值聚类 算法接受参数 k ;然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足:同一聚类中的对象相似度较高;而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个"中心对象"(引力中心)来进行计算的。(kmeans cluster K means clustering algorithm accepts parameters K; N data object classification and the previously inpu
CFAR2D
- This is ca-cfar implement code by C++
RRT
- RRT（随机生成搜索树）搜索下的航路规划，(Route planning based on RRT (Random Spanning search tree) search,)
AntColony
- 包含蚁群算法的源程序m文件，还有其他函数m文件(Ant colony algorithm source program m files)
gauss
- 采用高斯消元法，实现线性非齐方程求解，并且具有回代，可以直接论证方案。具有一般性，和参考性。(The Gauss elimination method is used to solve the linear non-homogeneous equation, and it can be used to prove the scheme directly. It is general and referential.)
chap3
- 包括专家pid控制原理，典型模糊控制器的设计，模糊自适应整定pid控制，基于sugeno的模糊控制(Including expert PID control principle, the design of typical fuzzy controller, fuzzy adaptive tuning PID control, fuzzy control based on Sugeno)
chap4
- 基于单神经元网络的pid智能控制，基于bp神经网络整定的pid控制，基于rbf神经网络整定的pid控制(PID intelligent control based on single neuron network, PID control based on BP neural network tuning, PID control based on RBF neural network tuning)
chap5
- 基于遗传算法整定的pid控制，遗传算法函数极大值，基于遗传算法的pid整定(PID control based on genetic algorithm tuning, genetic algorithm function maximum, PID tuning based on genetic algorithm)
chap1
- 先进pid多变量控制，单神经元pid控制，基于drnn神经网络整定的pid控制(Advanced PID multivariable control, single neuron PID control, PID control based on DRNN neural network tuning)
chap7
- 基于干扰观测器的pid控制，非线性pid鲁棒控制，线性pid控制器设计(Disturbance observer based PID control, nonlinear PID robust control, linear PID controller design)
MusicExample
- 隐马尔可夫在音乐识别上的应用，Windows平台，matlab代码(Hidden Markov, matlab)