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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
Date : 2026-01-08 Size : 2kb User : 罗权

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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) algorithm adopts adaptive inertia weight and acceleration coefficients to significantly improve the performance of the original PSO algorithm in global search and fine-tuning of the solutions. This study uses the IPSO algorithm to optimize authority value and threshold value of BP nerve network and IPSO-BP neural network algorithm model has been established. The results demonstrate that this model has significant advantages inspect of fast convergence speed, good generalization ability and not easy to yield minimal local results
Date : 2026-01-08 Size : 247kb User : dasu

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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 the single standard global version of particle swarm optimization algorithm to update the position of the speed function
Date : 2026-01-08 Size : 2kb User : 戴旭

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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)
Date : 2026-01-08 Size : 1kb User : blueskylxg

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)
Date : 2026-01-08 Size : 8kb User : 嘿咻咻520
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