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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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里面包含全面的粒子群算法，有CLPSO、CPSO、FIPSO等,Which contains a various particle swarm algorithms, there is CLPSO, CPSO, FIPSO, etc.
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遗传算法与模拟退火,粒子群算法的结合与比较实验.稍微修改就可以学习应用-Genetic algorithms and simulated annealing, particle swarm optimization algorithm and comparison with experiment. A slight modification can learn the application of
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This an implementation of Particle Swarm Optimization algorithm using
the same syntax as the Genetic Algorithm Toolbox, with some additional
options specific to PSO. Allows code-reusability when trying different
population-based optimization al
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matlab的差分算法实现以及粒子群优化算法介绍-matlab differential algorithms and particle swarm optimization algorithm introduced
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我备战2010数学建模美赛所精心准备的算法资料，一共13个算法。应该说是目前比较全的算法集了。每个算法由一个VC6例子实现，来解决一个问题。其中一些是自己编写，其它的也是由网上找到后经过修改编译通过的。比赛结果还不错，一个M，现在把资料共享出来，希望对大家有所帮助，算法主要有模拟退火，遗传算法，蒙特卡罗算法，蚁群算法，粒子群算法，元胞自动机，Dijkstra，最小生成树算法，二分图最大匹配算法，最大流算法，动态规划算法，分支定界法，排队论算法，决策论算法等，我写了个说明文件，列的挺详细的-I a
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其中包含了三种算法，粒子群优化方法，遗传算法和蚁群算法-Which contains the three algorithms, particle swarm optimization, genetic algorithms and ant colony algorithm
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群智能系统
主要讲述，蚁群算法、微粒群算法的原理以及应用，以及这些算法在MATLAB中的应用。-Swarm intelligence system is mainly about, ant colonies, particle swarm optimization theory and applications, and these algorithms in the MATLAB application.
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matlab实现的粒子群算法，非常高效的算法，希望对大家有用哦-matlab implementation of the particle swarm algorithm, very efficient algorithms, we hope to be useful Oh
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粒子群优化算法，希望程序对大家学习智能算法有帮组-Particle swarm optimization, we want the program on smart learning algorithms to help group
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两个（生物地理算法和粒子群算法）智能优化算法MATLAB程序-Two (biogeographic algorithms and particle swarm optimization) intelligent optimization algorithm MATLAB program
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各种算法的matlab代码，方便你们学习和使用，全为matlab编写-Genetic algorithms, particle swarm optimization algorithm examples of easy to learn and use you, all written for the matlab
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一个完整Matlab程序，实现了粒子群算法与人工鱼群算法的比较，体现了两种算法各自的优缺点-A complete Matlab program to achieve a particle swarm optimization and artificial fish school algorithm, two algorithms reflects the advantages and disadvantages of each
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拟合、插值、遗传算法、微粒群算法实例讲解,matlab-Fitting, interpolation, genetic algorithms, particle swarm optimization examples to explain
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该函数由于遗传算法，粒子群算法等各类测试，可以很好地对你所编程序进行评估，以验证你提出的算法的合理性-Function due to genetic algorithms, particle swarm optimization, and other tests can be well on your programmed assessment, to verify the rationality of the proposed algorithm
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基本粒子群、惯性粒子群、收缩因子粒子群三种编程并进行对比，显示三种算法的收敛速度，计算时间，包含有多个验证方程-Particle swarm, inertial particle swarm particle swarm three programming shrinkage factor and compared, showing the convergence rate of the three algorithms, computation time, contains a number
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matlab源码：K-means算法,粒子群算法PSO，模拟退火算法SA-The matlab source code: K- means algorithm, particle swarm optimization (PSO, simulated annealing algorithm SA
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粒子群有关的算法合集，包含各种自适应，改进的POS算法。-Particle swarm algorithms related to collection contains various adaptive algorithm improved POS.
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PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质-PSO algorithm is a kind of evolutionary algorithms，Similar and simulated annealing algorithm，It is also starting the random solution，To find the optimal solution by iteration，It is also t
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多种人工智能算法合集，包含遗传算法和粒子群算法和CSO等等，有较详细的说明。(A variety of artificial intelligence algorithm collection.Including genetic algorithms and particle swarm algorithms and CSO, etc., have a more detailed descr iption.)
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