IEMhh_zheng

matlab中实现最小生成树的kruskal算法(matlab kruskal to achieve the minimum spanning tree algorithm)

卡尔曼滤波，卡尔曼滤波，卡尔曼滤波，卡尔曼滤波，卡尔曼滤波，(Kalman filtering, Kalman filtering, Kalman filtering, Kalman filtering, Kalman filtering,)

imnverted pendulum bymyself

TURBO CODE SIMULATION SORCE

Packet provides statistical analyse.

用matlab来生成全息图的一个样例程序。简单实用(Using matlab to generate a sample program hologram. Simple and practical)

基于matlab的粒子群优化算法，并且包含几种典型的测试函数(A Matlab optimization algorithm based on particle swarm, and contains several typical test functions.)

多目标跟踪的 MHT 算法的一种实现。可以在 Linux 版的 MATLAB 中运行。代码仅供参考。相关论文： 1. Multiple object video tracking using GRASP-MHT 2. An Efficient MHT Implementation Using GRASP(An implementation of MHT for multi-target tracking. For research purpose only. Related papers: 1. Multiple object video tracking using GRASP-MHT 2. An Efficient MHT Implementation Using GRASP)

- XCS for Dynamic Environments + Continuous versions of XCS + Test problem: real multiplexer + Experiments: XCS is explored in dynamic environments with different magnitudes of change to the underlying concepts. +Reference papers: H.H. Dam, H.A. Abbass, C.J. Lokan, Evolutionary Online Data Mining – an Investigation in a Dynamic Environment. 2005, accepted for a book chapter in Springer Series on Studies in Computational Intelligence H.H. Dam, H.A. Abbass, C.J. Lokan, Be Real! XCS with Continuous-Valued Inputs. IWLCS 2005, (International Workshop on Learning Classifier Systems). Washington DC, June 2005.(- XCS for Continuous Dynamic Environments Test versions of XCS problem : real multiplexer Experiments : XCS is explored in dynamic environments with di fferent magnitudes of change to the underlying concepts. Reference papers : H. H. Dam, H. A. Abbass, C. J. Lokan. Evolutionary Online Data Mining-an Investiga tion in a Dynamic Environment. 2005. accepted for a book chapter in Springer Series o n Studies in Computational Intelligence H.H. D am, H. A. Abbass, C. J. Lokan. Be Real! XCS with Continuous- Valued Inputs. IW LCS 2005. (International Workshop on Learning Classifi er Systems). Washington DC, June 2005.)

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