搜索资源列表
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
PSO
- 粒子群算法，用来解决诸如支持向量机参数优化等问题的智能算法-Parameter Optimization
psopt-discription
- 具体描述了PSO的原理和程序，可用于优化参数，具有较好效果-PSO is described in detail the principles and procedures can be used to optimize the parameters, with better results
PSOMutation
- 粒子群优化算法，对于参数寻优，模型拟合较好，欢迎大家下载使用-pso mutation
pso_opf
- pso算法的malab程序，用pso算法优化电力系统中参数-Optimal Power Flow by Vector PSO
PSO
- 在Python环境下简单的PSO参数优化程序。-In the Python environment simple PSO parameter optimization program.
PSO-pid
- 基于MATLAB语言的用于PID控制器的三个参数优化整定的微粒群算法-Tuning of particle swarm optimization algorithm based on three parameters for the PID controller MATLAB language
ACO-PID
- 除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。-In addition to the ant colony algorithm, can be used in the intelligent algorithm of PID parameter optimization and there are many, such as genetic algorithm, simulated annealing algorithm, pa
pso
- 该程序为标准粒子群算法源程序，可以在此基础上改变参数，对程序进行优化-The program is the standard particle swarm algorithm source code, you can change the parameters on this basis, the program optimization
PSO
- 可显示迭代次数，修改参数的粒子群优化算法-Can display the number of iterations, modify the parameters of PSO
PSO-SVM
- 利用PSO算法优化SVM向量机参数。测试指标为MAPE和均方根误差。-Optimization of SVM Parameters by PSO Algorithm. The test indexes are MAPE and root mean square error.
PSO
- 最基本的粒子群程序,设定目标函数，可以实现参数优化。-The most basic particle group program, set the objective function, you can achieve parameter 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)
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)
PSOGM
- PSO优化粒子群,改进灰色预测的参数部分(PSO optimizes particle swarm optimization and improves the parameter part of grey prediction)
PSO-DBN-master
- 这是一种新的结合方式，对参数进行优化 取得更好的结果(This is a new way to optimize the parameters and get better results)