搜索资源列表
swarm(pso)
- 粒子群算法，用matlab实现，内含几个测试参数。
HPSOMATLAB
- 繁殖粒子群算法,内含测试函数,参数采用随着跌代的逐步进行而逐步变化的策略.
Tribes_research
- 一种参数自由调整的粒子群最佳化算法（数值优化）-A free to adjust the parameters of particle swarm optimization algorithm (numerical optimization)
PSO
- 粒子群算法，根据自己需要可以更改里面的参数具体情况自己更改-Particle swarm optimization, in accordance with their needs can change the parameters inside the specific circumstances of their own change
sPso
- 利用粒子群优化算法辨识工业模型，参数设置，和结构辨识-Particle swarm optimization
111
- matlabb标准粒子群优化算法。 电力系统的分析和计算中，需要不同网络结构和参数。在应 用这些参数之前，收集和整理工作会花费大量的时间和精力。-matlabb standard particle swarm optimization. Power system analysis and calculation, require different network structures and parameters. Before applying these parameters,
PSO
- 该文件为粒子群算法优化支持向量机模型参数的matlab代码 支持向量机模型为专门用于处理不平衡数据的成本控制型支持向量机模型-Matlab code of the file support vector machine model parameters for particle swarm optimization support vector machine model for cost control, support vector machine model for dealing wit
Bppssopcnna
- 一种基于粒子群优化算法(PSO)确定参数的脉冲欧与神经网络滤波方法。。运用粒子群优化算法(PSO)确定pcnn图像滤波参数，对图像进行滤波 -Pulse Europe and the neural network filtering method based on particle swarm optimization (PSO) to determine the parameters. . Particle swarm optimization (PSO) to determine the
PSO-RBF-5
- 一个基于粒子群优化径向基神经网络参数的程序-A radial basis function neural network parameters based on particle swarm optimization program
SSAPSOi
- 模拟退火-粒子群算法，该程序将模拟退火算法和粒子群算法相结合，对优化参数有很好的效果-Simulated annealing- particle swarm optimization algorithm, the program will be the combination of simulated annealing algorithm and particle swarm optimization, optimization parameters have very good result
粒子群
- 粒子群算法优化SVR参数，包括核函数和惩罚函数的优化。(Particle swarm optimization algorithm to optimize the SVR parameters, including kernel function and penalty function optimization.)
利用PSO算法优化求解PID参数
- PSO粒子群优化的PID参数，通过matlab平台C语言来编写，达到优化控制的目的(PSO particle swarm optimization PID parameters, through the MATLAB platform C language to write, to achieve the purpose of optimization control)
模拟退火算法
- 提出了一种基于粒子群优化(PSO)算法的径向基(RBF)网络参数优化算法,首先利用减聚类算法确定网络径向基函数中心的个数,再用PSO算法优化径向基函数的中心及宽度,最后用PSO算法训练隐含层到输出层的网络权值,找到神经网络权值的最优解,以达到优化神经网络学习的目的。最后,通过一个实验与最小二乘法优化的神经网络进行了比较,验证了算法的有效性。(Particle swarm optimization (PSO) optimization of RBF network)
psoSVM
- 采用粒子群算法优化支持向量机的两个参数c与g，以进行后续的实验(Particle swarm optimization (PSO) is used to optimize two parameters c and G for support vector machines for subsequent experiments)
粒子群算法优化PID参数实例1
- 粒子群算法优化PID参数实例+matlab代码学习研究(Optimization of PID parameters by particle swarm optimization)
pso1
- 粒子群寻优，根据现场数据寻找合适的模型参数，为了后续控制(Particle swarm optimization, according to the field data to find the appropriate model parameters, for the follow-up control)
粒子群优化算法代码
- 粒子群算法matlab源程序，换个函数，更改相应的参数就可以在matlab上运行啦(Particle swarm algorithm Matlab source program, change a function, change the corresponding parameters can run on Matlab)
JIQISHOUPSO
- 粒子群算法优化机器手的运动轨迹参数，驱动机器手(Particle Swarm Optimization (PSO) algorithm optimizes the trajectory parameters of the manipulator to drive the manipulator)
粒子群算法优化极限学习机PSO_ELM
- PSO粒子群算法优化极限学习机ELM参数，即PSO-ELM(The PSO particle swarm optimization algorithm is used to optimize the extreme learning machine ELM, ie pso-elm)
基于遗传算法优化VMD参数
- 基于遗传算法优化多尺度排列熵参数，类似于粒子群算法优化参数(Optimization of VMD parameters based on genetic algorithm)