搜索资源列表
regular_pso_l
- 粒子群算法的局部模型程序，比全局模型的效果要好，尽管收敛速度慢些，但是都能找到最优点。-PSO partial model program than the overall model is better effect, despite the convergence speed more slowly, But can find the most advantages.
ParticleEx5
- 也是一个EKF和粒子滤波在目标跟踪方面的效果比较，比较实用，本来想留着，捐了！
PSO粒子群优化算法
- 本代码是PSO粒子群优化算法，对一些目标函数可以进行优化，获得很好的优化效果
TSP-PSO.rar
- 用混合粒子群算法求解TSP问题，自带GUI界面，共有９中算法，可解决各种TSP问题，效果不错。,Using hybrid particle swarm algorithm to solve TSP problems, bring their own GUI interface, a total of 9 in the algorithm, to resolve the various TSP problems, good results.
SACQPSO
- matlab源程序，粒子群和小生境还有量子的结合，可以运行 收敛效果好-matlab source, particle quantum groups and the combination of niche there, you can run a good convergence effect
cs-code
- 一个正弦波利用DCT，FFT变换后稀疏化，然后应用压缩感知实现压缩，并有仿真图例说明重构效果。重构算法采用线性规划和OMP算法等，是一个初学CS入门的好例子。-A sine wave using DCT, FFT transform sparse, and then apply compressed sensing to achieve compression, and a legend reconstruction simulation results. Reconstruction algo
gaijinpsobp
- 基于改进粒子群算法的BP神经网络及其应用 里面很好的介绍了粒子群的优化效果-Particle swarm optimization based on improved BP neural network and its application within a very good introduction to the effects of particle swarm optimization
PF_Regular
- 正则化粒子滤波程序，对SIR重采样步骤进行正则化处理，改进粒子滤波效果。-Particle filter regularization procedures, SIR resampling steps regularization, improved particle filtering.
Regression_LS_SVMlab_PSO_LuHua
- 运用粒子群算法优化支持向量机的参数，效果比较好-The use of particle swarm optimization algorithm for support vector machine parameters, the effect is better
version2
- 实现基于蒙特卡洛算法的rb粒子滤波，带有再采样步骤，针对强非线性系统，有较好的效果。-Rb-based Monte Carlo algorithm to achieve particle filter with re-sampling step, for the strongly nonlinear systems, there are good results.
EKF
- EKF程序，可以应用于粒子滤波程序进行效果比较-EKF procedure can be applied to compare effects of particle filtering procedure
Distribution-network-reconfiguration
- 这是应用于配电网重构的改进二进制粒子群算法，能够取得比较理想的效果-Distribution network reconfiguration
rrpso
- 基于遗传交叉的粒子群优化算法有很好的计算效果-Genetic cross-PSO has good calculation results
LocalizationProject
- 使用EKF和粒子滤波在简单的平台上实现定位，是本人在华盛顿大学机器人课程作业的基础上编写完成的，可以作为滤波和移动机器人定位的基础教程使用。 Author：Wilford Wang PS. 可以先下载本人之前上传的Project-1.rar(华盛顿大学的课题作业)，自行编写，再与我写的程序做比较，可以达到比较好的学习效果。-Using the EKF and particle filter in a simple platform for location, is my course w
DVHOP2
- 基于粒子群的DV_hop算法的运用，有很好的效果，定位比较好-Algorithm based on particle swarm DV_hop use, have a good effect, better positioning
PSO-MATLAB
- 实现粒子群算法的功能，有不同的评价函数可供选择，有很好的显示效果(Particle swarm algorithm to achieve the function, there are different evaluation functions to choose from, there is a good display effect)
粒子群算法解决旅行商问题
- 用于粒子群算法解决旅行商问题，可以运行，效果很好啊(For particle swarm optimization algorithm to solve the traveling salesman problem, you can run, the effect is very good!)
PSO
- 运用的粒子群算法解决TSP问题，迭代次数1000次，效果较好(The use of particle swarm algorithm to solve the TSP problem, the number of iterations 1000 times better)
基于粒子群算法的多目标搜索算法
- 本案例是基于粒子群算法的多目标搜索算法，对于多目标搜寻效果不错(This case is a multi target search algorithm based on particle swarm optimization, which has a good effect on multi target search.)
基于alopex的粒子群算法
- 该算法通过基于Alopex的粒子群优化算法，结合神经网络计算，恰当地对所给数据进行聚类并进行拟合，从何达到了很好的分类和优化效果(Based on the Alopex particle swarm optimization algorithm and neural network calculation, the algorithm can properly cluster and fit the data, which can achieve a good classification an