搜索资源列表
粒子群PID
- 该代码为基于pso算法优化的PID神经网络的系统控制算法(The code is based on the PSO algorithm optimized PID neural network system control algorithm)
PSO视频程序
- 粒子群算法程序及教学视频(The particle swarm algorithm and video teaching program)
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)
PSO
- 本文件是粒子群算法的源程序,能用于对神经网络的优化。(This document is the particle swarm algorithm source code, can be used for the optimization of neural networks.)
PSO solve JSP
- 用粒子群算法求解车间调度问题,包含甘特图的制作程序(Particle swarm optimization algorithm for job shop scheduling problem, including Gantt chart)
pso
- 用粒子群优化算法求解函数最大值问题,有收敛曲线图,自己编的程序,附带一个常用的函数(Particle swarm optimization algorithm to solve the problem of maximum function, a convergence curve)
pso-pid
- 粒子群算法整定PID的算法,亲自调整,控制效果良好(pso-pid MATLAB m simulink)
PSO toolbox
- 粒子群算法工具箱以及适应度函数实例,实测有效(Particle swarm algorithm toolbox, as well as fitness function example, effective measurement)
PSO
- Python 实现的粒子群优化算法 粒子群算法源于复杂适应系统(Complex Adaptive System,CAS)。CAS理论于1994年正式提出,CAS中的成员称为主体。比如研究鸟群系统,每个鸟在这个系统中就称为主体。主体有适应性,它能够与环境及其他的主体进行交流,并且根据交流的过程“学习”或“积累经验”改变自身结构与行为。整个系统的演变或进化包括:新层次的产生(小鸟的出生);分化和多样性的出现(鸟群中的鸟分成许多小的群);新的主题的出现(鸟寻找食物过程中,不断发现新的食物)。(Par
PSO-bp((matlab
- 实现粒子群算法优化BP神经网络的预测算法(Particle swarm optimization algorithm to optimize the BP neural network prediction algorithm)
PSO
- 单目标粒子群优化算法,可用于单目标优化计算(Single objective particle swarm optimization)
PSO
- 用MATLAB编写的PSO粒子群法程序,程序利用PSO算法实现函数自动寻优问题(Written in PSO particle swarm MATLAB procedures)
PSO+DOA
- 改进粒子群算法在DOA估计中的应用Application of improved particle swarm optimization in DOA estimation(Application of improved particle swarm optimization in DOA estimation)
PSO
- matlab粒子群优化,性能可靠,代码逻辑清晰(The pso algorithm implemented in matlab with high effecient and clear logic.)
pso
- 粒子群优化算法的一个应用,有基本的注释,需要一定水平才能看明白(an example of pso algorithom)
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)
PSO
- 基于量子的粒子群优化算法,该算法通过粒子群有量子的行为,提高了算法的寻优能力,增强了算法的全局搜索能力,有效的避免了“早熟”问题。(Quantum based particle swarm optimization algorithm.The algorithm improves the searching ability of the algorithm by quantum behavior of particle swarm, and enhances the global searchi
PSO haoyong
- 此压缩包包括PSO的一个经典工具箱,和几个帮助学习的测试程序,以及几个我编的测试小程序,绝对可用,我一直在用。(This compressed package includes a classic toolbox of PSO, and several learning procedures to help test, absolutely available, I have been using.)
PSO for 3 Models
- 粒子群算法对解决二次规划、旅行商问题、背包问题等源程序(Particle swarm algorithm to solve the secondary planning, traveler problems, backpack problems and other source code)
PSO
- 光学常数反演,粒子群反演材料光学常熟源代码(PSO Optical constants inversion, particle swarm inversion material optics Changshu source code)