搜索资源列表
pso_expriment
- 基本种群规模改进与数值实验的PSO算法源程序,可自动保存实验数值,附有画图源代码。-Basic population size and numerical experiments to improve the PSO algorithm source code can be automatically saves numerical experiment with drawing the source code.
basic_PSO_with_w_c
- 带有收缩因子和惯性权重的基本PSO粒子群算法源代码。本源代码模块化编写,结构清晰,便于改进和做数值实验-With contraction factor and inertia weight PSO basic particle swarm algorithm source code. Source code modular preparation, structure, clear, easy to improve and to do numerical experiments
PAI
- 改进得PSO算法程序,加入了免疫克隆思想 -PSO algorithm to improve a process, joined the Immune Clonal thinking
PSOBPlunwen
- 基于PSO的BP训练算法论文:在BP训练算法中,关于变权值、学习速率、步长的问题已被广泛地研究,几种基于启发式改进的技术也表明具有改善训练时间以及避免陷入局部最小的明显效果。这里BP训练过程由基于PSO同时优化log—Sigmoid函数与网络权值的新算 法(PSO。GainBP)实现。实验结果表明,PSO—GainBP比传统基于PSO的BP算法在网络训练方面具有更好的性能。-PSO based on the BP training algorithm Papers: In the BP tr
GA-PSOPSO
- (粒子群算法)作为添加算子改进GA (遗传算法),供大家学习-(PSO), as the operator to add to improve the GA (genetic algorithm) for them to learn
PSOGA
- 带交叉因子的改进PSO算功能:求解多维无约束优化问题收敛性强,还可以加入变异算子-With cross-factor improvement of PSO operator functions: Solving multi-dimensional unconstrained optimization problem of strong convergence can also add mutation operator
animprovedPSOalgorithm
- 提供一个改进的pso的算法实现,并应用Java语言实现和测试,供优化方面的研究者参考-Pso provide an improved implementation of the algorithm and application implementation and testing of Java language for optimization of the researchers refer to
psobp
- 改进版的bp神经网络算法编程 可以正常运行 -An improved version of the bp neural network algorithm to the normal operation of programming
PSO_for_function_optimization
- 用于连续函数优化的PSO(粒子群)算法,可以根据其进行算法改进,好东东!-PSO Algorithm for general function optimization
a
- 该代码是聚类算法的一种改进,是基于微粒群算法的k-means聚类算法-PSO based k-means clustering algorithm
PSO
- 一个改进的PSO算法,供朋友们分享,这是一个用C++编写的源码,在VC6.0环境下就可以运行-An improved PSO algorithm for friends to share, this is a use of C++ source code written in VC6.0 environment can run on
pso
- c++的pso基本算法的源代码。可改进用于适应自己的工程-c++ of the basic algorithm pso source code. Could be improved to adapt to their own projects. .
psoandimprovedpso
- 基本粒子群优化算法和改进粒子群优化算法程序,包括:用基本粒子群算法求解无约束优化问题,用带压缩因子的粒子群算法求解无约束优化问题,用线性递减权重粒子群优化算法求解无约束优化问题,用自适应权重粒子群优化算法求解无约束优化问题,用随机权重粒子群优化算法求解无约束优化问题,用学习因子同步变化的粒子群优化算法求解无约束优化问题,用学习因子异步变化的粒子群优化算法求解无约束优化问题,用二阶粒子群优化算法求解无约束优化问题,用二阶振荡粒子群优化算法求解无约束优化问题,用混沌粒子群优化算法求解无约束优化问题,
PSo_vb
- PSO的改进VB算法,收敛速度明显加快,并且这是改优化后的PSO程序,比标准的速度快。-PSO
threeAlgo
- matlab 遗传算法GA,粒子群算法PSO,蚁群算法AS 前段时间上智能计算方法实验课上,自己做的程序。帖到这里,希望有人能改进它们,交流经验这样更有价值。 遗传算法解决最小生成树问题,PURFER编码。 粒子群算法做无约束最优化问题。 蚁群算法解决TSP问题。 如果有宝贵经验希望能交流一下,谢谢,-matlab genetic algorithm GA, particle swarm optimization PSO, ant colony algorithm f
61549803apso
- 标准粒子群算法,改进粒子群算法,希望大家能用上-Standard particle swarm optimization, improved particle swarm algorithm, hope everyone can be on the
DeNosingBaseOnXiaoBo
- 一种改进的基于PCNN神经网络和QPSO粒子行为的PSO的图像滤波算法,也可以较好地去除高斯噪声-Improved PCNN-based neural network and PSO behavior QPSO particle image filtering algorithm can also be better to remove Gaussian noise
yichuansuanfayingyongyanjiu
- 摘要:本文旨在研究一种能对复杂热工对象的有效建模方法。基于遗传算法的辨识方法有较强的抗干扰能力,对低、高阶系统、延时系统都可以达到很好的辨识效果。根据单元机组的低阶非线性模型,推导出一个双进双出、能够描述机组动态特性及机炉间相互耦合关系的协调控制系统传递函数矩阵。依次模型为基础,提出一种基于改进的遗传算法的参数辨识方法。-Abstract: This paper aims to study a thermal complex objects can be an effective modelin
code
- 这是一篇用MATLAB编写的PSO用法的源码 介绍了改进的PSO的用法-This is the one with the usage of MATLAB source code written in PSO introduced the usage of the improved PSO
SAPSO
- 权重改进粒子群算法中的自适应权重法,平衡了PSO算法的全局探索能力和局部改良能力-Weight improved particle swarm algorithm in the adaptive weighting method to balance the global exploration of the PSO algorithm is improved capacity and capacity of local