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针对目前粒子群算法（Particle Swarm Optimization）一般是用MATLAB实现的，对PSO算法用C实现的代码-In view of the current PSO (Particle Swarm Optimization) is generally used MATLAB' s implementation of the PSO algorithm implementation using C code
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一个较好的蚁群MATLAB程序，附地图。-In this M-file, the implemention of ACO Algorithm is given with the support of reference papers listed. You can easily use it as following command to see the pictures of result and the iterative playing course.
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这是一个用pso优化SVM中的惩罚参数C和核参数g的MATLAB源码，简单易学-This is an optimization of SVM with the pso in the penalty parameter C and kernel parameter g of the MATLAB source code, easy to learn
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PSO算法就是模拟一群鸟寻找食物的过程，每个鸟就是PSO中的粒子，也就是我们需要求解问题的可能解，这些鸟在寻找食物的过程中，不停改变自己在空中飞行的位置与速度。-PSO algorithm is to simulate a flock of birds looking for food in the process, each bird is the PSO particles, that is, we need to solve the problem of possible solution
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matlab 编写的 PSO标准源码,注释丰富-matlab source code written in standard PSO, notes rich
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it is code of particle swarm optimization in matlab.
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一个利用粒子群优化算法训练BP神经网络的程序，在matlab环境中，代码简便可行。-A particle swarm optimization algorithm is used to train the BP neural network program, in the MATLAB environment, the code is simple and feasible.
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是关于文章Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification的Matlab源代码，希望对从事这个方向的人员有所帮助。(Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification)
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