During the solving course of hidden space support vector machine, this paper introduces the Particle Swarm Optimize Algorithms.
在隐空间中支持向量机求解过程中，引入改进粒子群算法用于搜索空间的迭代。
The improved particle swarm optimization (PSO) is used to optimize the PID controller parameters.
应用改进的粒子群优化算法优化PID参数。
To optimize the damage probability, the particle swarm optimization algorithm (PSO) is adopted to optimize the system parameters, based on above models.
以上述模型为基础，以毁伤概率为优化目标，采用微粒群算法（PSO）对该系统待优化的各参量进行综合优化。
Particle swarm optimization algorithm is also adopted to optimize parameters of PID controller.
PID控制器参数由粒子群算法进行优化。
A novel method based on modified particle swarm optimization (IPSO) with mutation algorithm was proposed to optimize water quantity in secondary cooling process in the continuous slab casting.
提出了一种基于带有变异算子的改进粒子群算法对二冷区水量进行优化的新方法。
The key in using particle swarm algorithm to optimize the scheduling problem is to find an effective and feasible encoding structure.
利用粒子群算法求解调度问题的关键是建立有效的粒子编码结构。
The adaptive particle swarm optimization is used to optimize the parameters of SVM so as to avoid artificial arbitrariness and enhance the forecast accuracy.
同时利用粒子群算法优化小波最小二乘支持向量机的参数，避免了人为选择参数的盲目性，从而提高了模型的预测精度。
Particle swarm optimization is firstly applied to optimize a three level voltage pulse width modulation inverter in this paper.
该文首次将粒子群算法用于三电平正弦脉冲宽度调制开关时刻的优化。
Particle swarm optimization is firstly applied to optimize a three level voltage pulse width modulation inverter in this paper.
该文首次将粒子群算法用于三电平正弦脉冲宽度调制开关时刻的优化。
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