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基于粒子群算法的高速公路速度可变控制。可以用来仿真-Based on particle swarm optimization variable speed control of the highway. Simulation can be used to
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An Improved PSO Algorithm to Optimize BP Neural Network
Abstract
This paper presents a new BP neural network
algorithm which is based on an improved particle swarm
optimization (PSO) algorithm. The improved PSO (which
is called IPSO) algori
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多阈值图像分类的粒子群优化算法，采用自然方法来提提高优化速度和计算量 ，经测试可直接使用。
-Multi-threshold image classification particle swarm optimization algorithm, the use of natural methods to mention improve optimization speed and computational been tested and can be used directly.
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下面的函数BaseStepPso实现了标准全局版粒子群算法的单步更新位置速度的功能-The following function BaseStepPso to realize one-step global version of standard particle swarm optimization algorithm to update the position of the speed function following BaseStepPso function to achieve t
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改进的粒子群算法，适用与多目标最优化项目，收敛速度快(The improved particle swarm optimization algorithm is applicable to multi objective optimization projects, and the convergence speed is fast)
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粒子群算法优化vmd算法，极大提高算法的精确性和运行速度(Particle swarm optimization algorithm optimizes VMD algorithm, which greatly improves the accuracy and running speed of the algorithm)
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