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- A design method to optimize the dynamic errors of the compensator for micro-silicon accelerometer is presented,which is based on particle swarm optimization(PSO). 本文提出了一种基于微粒群(PSO)算法优化的微硅加速度传感器动态误差补偿器的设计方法。
- 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。
- In order to overcome these troubles, a composite particle swarm optimization (CPSO) using simple genetic algorithm (SGA) to optimize the control parameters was proposed. 今提出引入遗传算法，在粒子群算法的搜索过程中，逐代优选参数，包括惯性权值，加速常数，以此构建为复合粒子群优化算法。
- A rolling load distribution optimization algorithm of tandem cold mill was designed using particle swarm optimization algorithm. 摘要利用粒子群算法设计了一种冷连轧轧制负荷分配的优化方法。
- In this paper, we try to apply Binary System Particle Swarm Optimization (BSPSO) with death Penalty function to solve 0/1 knapsack problem. 摘要将带有死亡罚函数的二进制粒子群优化算法应用于0/1背包问题。
- A method to evaluate spatial straightness errors adopting particle swarm optimization (PSO) is proposed. 摘要提出了一种满足最小区域法的空间直线度误差评价的新方法一粒子群算法。
- Particle swarm optimization (PSO) algorithm is adopted to optimize the center of fuzz K-means (FKM) with kernel function, which is used to classify the temperature of blast furnace. 摘要提出了一种高炉炉温分类辨识的方法PSO-K-FKM，该方法采用基于核函数改进的模糊K均值聚类，利用粒子群对聚类中心寻优。
- The particle swarm optimization(PSO) algorithm is an evolutional algorithm and comprises a very simple concept. 微粒群优化(PSO)算法是一种进化算法,包含的概念简单。
- Particle Swarm Optimization is used to design the nonholomic motion planning algorithm of the unicycle. 采用粒子群优化技术设计了独轮机器人非完整运动规划算法。
- Particle Swarm Optimization (PSO) is an optimization algorithm based on population invented by Eberhart and kennedy. 摘要 PSO算法(微粒群算法)是一种仿生优化技术，目前国内外对该算法的研究成果已经很丰富。
- A new method was researched for system model identification via Particle Swarm Optimization(PSO) in this paper. 论文研究了一种利用粒子群优化(PSO)算法对系统模型进行辨识的新方法。
- Based on the characteristic of particle swarm optimization(PSO) algorithm searching the parameter space concur... 仿真结果表明了所提算法的有效性和所设计控制器的优越性能。
- Because of the global optimization characteristic of the particle swarm optimizer method and the strong local search... 说话人辨认实验表明,与传统的方法相比,新方法可以得到更优的模型参数,使得系统的识别率进一步提高。
- Particle swarm optimization (PSO) algorithm is easy to be trapped into local minima in optimizing multimodal function. 摘要针对利用粒子群优化算法进行多极值点函数优化时，存在陷入局部极小点和搜寻效率低的问题。
- Hybrid algorithm was composed of particle swarm optimization (PSO) and improved ant colony optimization (ACO). 采用粒子群算法与改进蚁群算法组成的混合优化算法求解模型。
- Particle Swarm Optimization (PSO for short) is a evolutionary algorithm with simple operations and few parameters. 粒子群优化算法(PSO)是一种进化算法,操作简单,参数少。
- Particle Swarm Optimization algorithm(PSO) is a new intelligent optimization paradigm. 粒子群优化算法是一种新颖的智能优化算法。
- The particle swarm optimization(PSO)algorithm is improved to get better global search ability. 在对粒子群算法研究的基础上,对其进行改进,以提高全局搜索能力。
- This paper proposes a particle swarm optimization based on local and global combined search. 提出一种基于局部与全局搜索相结合的粒子群算法。
- Research on cylindricity evaluation based on the Particle Swarm Optimization(PSO)[J]. 引用该论文 崔长彩;黄富贵 张认成;李兵.
