搜索资源列表
PSO-SVM.rar
- 改进PSO-SVM在说话人识别中的应用。通过对粒子群优化算法中惯性权重和全局最优值 的分析,提出了一种根据迭代次数而自适应变化的惯性权重的粒子群优化方法,Improvement in the PSO-SVM speaker recognition applications. Through particle swarm optimization algorithm in the inertia weight and the analysis of the global optimum val
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
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
PSOApplication
- PSO算法在工程优化方面的应用,详细介绍了PSO-PSO algorithm for optimization in engineering applications, detailed information on PSO
PSO_base_RBF
- PSO的RBFNN优化程序 算法步骤 1.样本数据归一化处理,即将输入输出归一化到[-1,1]区间; 2.确定RBF网络的中心和宽度; 3.以拟合误差的均方根作为性能指标,使用PSO算法优化RBF网络输出层到隐层的连接权值矩阵-PSO-RBFNN algorithm optimization procedures Step 1. Sample data normalization treatment, about input and output normalized to [-
PSO
- 介绍了PSO算法,以及与遗传算法/人工神经网络的区别,并介绍了算法中参数的选取方法等内容。-Introduced the PSO algorithm, as well as with genetic algorithm/artificial neural network differences and describes the algorithm parameter selection methods and so forth.
pso-caj
- 粒子群算法文献,很多的,比较全caj文件-pso algorithm papers in caj
pso
- 比较好的讲粒子群算法及其应用的文章,还有改进的粒子群算法- pso algorithm and its application
A-new-approach-of-PSO-GA
- 基于PSO及遗传算法的改进,用于并行性方面的研究-PSO and Genetic Algorithm for the parallelism
PSO-Algorithm
- 粒子群优化(Particle Swarm Optimization, PSO),又称微粒群算法,是由J. Kennedy和R. C. Eberhart等于1995年开发的一种演化计算技术,来源于对一个简化社会模型的模拟。-Particle Swarm Optimization (Particle Swarm Optimization, PSO), also known as particle swarm optimization, by J. Kennedy and RC Eberhart eq
PSO-paper
- 详细介绍PSO算法的毕业设计论文,并附有源程序。-Details PSO algorithm design graduate thesis, with source code.
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- PID控制器的性能取决于其控制参数的组合,针对其参数的整定和优化问题,提出了应用一种改进的粒子群优化算法,该 算法借鉴了遗传算法的杂交机制,并采用惯性权值的非线性递减策略。用以加速算法的收敛速度和提高粒子的搜索能力。将该算 法应用于一个二阶系统的PID控制器参数的优化。仿真结果表明该改进的粒子群算法具有比传统粒子群算法和遗传算法更好的 优化效果,具有一定的工程应用前景。-Abstract:PID controller’s performance completely depends
pso
- pso算法的简单程序,全面的实现了算法的简单快捷性。解决寻找最优问题。-the pso algorithm simple program, comprehensive implementation of the algorithm is simple and quick. The search for optimal problem.
PSO
- 利用改进的粒子群算法解决旅行商问题,即g改进的PSO解决TSP,在调用程序时,直接输入pso(c,n),c为距离矩阵,请自己给出,n为粒子群个数-Improved particle swarm algorithm to solve the traveling salesman problem, ie g Improved PSO to solve the TSP
PSO-LSSVM
- :针对暖通空调(小,AC)系统,提出一种基于粒子群优化(Pso)算法和最小二乘支持向量机(LSSVM)的预测控 制方法。-: For HVAC (small, AC) system is proposed based on particle swarm optimization (Pso) algorithm and least squares support vector machine (LSSVM) predictive control methods.
PSO-Algorithm
- 一些粒子群优化算法的论文,全面地介绍了粒子群算法的各种改进,如多目标优化算法,介绍了粒子群算法的应用和基本原理,对于想对粒子群算法有一个全面的初步了解的同学很有帮助,对于想在粒子群算法里有所突破的人也可以提供一些启示。-Some PSO papers, comprehensive introduction to the PSO algorithm various improvements, such as multi-objective optimization algorithm, descr
Fuzzy-Adaptive-PSO
- 模糊方法与粒子群算法结合,能有效的提高算法的性能。-Fuzzy methods and particle swarm algorithms, can effectively improve the performance of the algorithm.
PSO-matlab
- 粒子群算法源程序,是近年来发展起来的一种新的进化算法。有实现容易、精度高、收敛快等优点。是一种并行算法。-Particle swarm algorithm source code, is a new evolutionary algorithm developed in recent years. There are easy to implement, high precision, fast convergence and so on. Is a kind of parallel algor
PSO
- 实现粒子群算法寻优,画出优化结果的purto前沿-Particle swarm optimization algorithm to achieve, draw optimal results purto frontier
自适应PSO与MPPT
- 将粒子群优化算法引入光伏电池最大功率追踪,对于研究MPPT的人员,可以参考学习(Particle swarm optimization (PSO) algorithm is introduced into maximum power tracking of photovoltaic cells, which can be used as a reference for people who study MPPT.)
