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智能优化算法：
粒子群优化算法（PSO）应用于神经网络优化程序。分为无隐含层、一隐含层、二隐含层。运行DemoTrainPSO.m即可。
程序来自：Brian Birge
NCSU-intelligent optimization algorithms : Particle Swarm Optimization (PSO) used neural network optimization procedures. Divided into hidden layer, a hidden
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C语言开发的微粒群优化算法源程序，程序用到了多个测试函数：包括Rosenbrock 函数等，操作时首先打开文件选择一个函数，然后点击计算就可以了。-C language development Particle Swarm Optimization algorithm source, a number of procedures used test functions : Functions include Rosenbrock, the first operation of a choice
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PSO（Padicle Swarm Optimization）微粒群优化算法，工具箱。-PSO (Padicle Swarm Optimization) Particle Swarm Optimization Algorithm toolbox.
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JSwarn 是微粒群优化(PSO) 程序包被写在Java. 设计要求极小的工作成绩使用(在配件箱外面) 虽然同样高模件。 -JSwarn Particle Swarm Optimization (PSO) package written in Java. The minimum design requirements of the Public results for the use (in the outside box accessories) Although the same hig
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A hybrid Particle Swarm Optimization algorithm for finding the minimum of
the function fitness in the real space.-Particle Swarm Optimization algo abbreviation for finding the minimum of the function fi tness in the real space.
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粒子群优化算法（PSO）是一种进化计算技术（evolutionary computation）,由Eberhart博士和kennedy博士于1995年提出 (Kennedy J，Eberhart R．
Particle swarm optimization．Proceedings of the IEEE International Conference on Neural Networks．1995．1942~1948.)。源于对鸟群捕食的行为研究。粒子群优化算法的基本思想是通过群体中个体
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A program to demonstrate the optimization process of particle swarm optimization. A two-dimensional objective function is visualized by level of grey: the lighter the color, the higher the function value. The particles are shown as red circles, their
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利用基本粒子群优化算法，使用matlab工具，求解Rastrigrin函数。-using particle swarm optimization algorithm, the use of Matlab tool Solving Rastrigrin function.
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A hybrid Particle Swarm Optimization algorithm for functions in the real space. -Particle Swarm Optimization algo rithm for functions in the real space.
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粒子群优化算法（PSO）应用于神经网络优化程序-Particle Swarm Optimization (PSO) algorithm used neural network optimization procedures
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粒子群优化（PSO）算法研究进展综述，本人简要的从八个方面归纳了PSO的研究情况，涉及60余篇文献（主要是IEEE文献），对大多文献进行了简要评价。从文献资料显示，此方面较为系统的归纳尚未见报导，而国内相关成果亦较少。希望通过与大家的共享，以互相交流、共同进步-Particle Swarm Optimization (PSO) algorithm Progress Review, I briefly summarized from eight aspects of the PSO. involv
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PSO粒子群寻优算法。
Particle swarm optimization With linkage operator-PSO Particle Swarm Optimization algorithm. Particle swarm optimization With linkage oper.html se
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用C编写的粒子群寻优的优化算法，希望与大家共享-prepared by the Particle Swarm Optimization algorithm optimization, and share hope
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A Dissipative Particle Swarm Optimization
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一种新的随机优化技术:基于群落动态分配的粒子群优化算法(Community Dynamic Assignation-based Particle Swarm Optimization,CDAPSO)。新算法通过动态改变粒子群体的组织结构和分配特征来维持寻优过程中启发信息的多样性,从而使其全局收搜索能力得到了显著提高,并且能够有效避免早熟收敛问题。-a new stochastic optimization techniques : Community-based dynamic allocat
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particle swarm optimization toolbox for matlab.粒子群优化的工具箱-particle swarm optimization toolbox for m atlab. Particle Swarm Optimization Toolbox
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The particle swarm optimization algorithm is very popular this years and widely used in many specilities. Our procedure is hoped to bu useful to you. -The particle swarm optimization algorith m is very popular this years and widely used in ma ny spec
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particle swarm optimization toolbox (matlab)
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A dissipative particle swarm optimization is
developed according to the self-organization of dissipative
structure. The negative entropy is introduced to construct an
opening dissipative system that is far-from-equilibrium so as to
driving th
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Swarm intelligence algorithms are based on natural
behaviors. Particle swarm optimization (PSO) is a
stochastic search and optimization tool. Changes in the
PSO parameters, namely the inertia weight and the
cognitive and social acceleration c
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