在网络综合法设计的滤波器电路基础上，利用粒子群优化算法对滤波器的整个参数空间进行高效并行搜索直到获得最优的参数值。
The filter is designed by the network synthesis design method, and it optimizes the circuit's parameters in the whole parameters space effectively and globally by PSO until gain the best parameters.
利用粒子群的优化算法，建立侵彻子母弹最佳抛撒高度的求解模型，并进行了仿真计算。
By using Particle Swarm Optimization (PSO), a model was built up for calculating the optimum dispersion height of intrusive submunition dispenser, and mathematical simulation was carried out.
针对公交线网优化问题，利用粒子群算法进行了研究。
A new method of public traffic line network optimization is presented by particle swarm algorithm.
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。
A rolling load distribution optimization algorithm of tandem cold mill was designed using particle swarm optimization algorithm.
利用改进粒子群算法替代BP算法优化神经网络的权值系数。
Alternative use of improved particle swarm optimization neural network BP algorithm weight value.
二是利用基于粒子群算法(PSO)优化的BP神经网络进行异步电机故障诊断。
Another is to examine faults of asynchronous Motors in terms of BP neural network based on Particle Swarm Optimization (PSO).
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。
The adaptive particle swarm optimization is used to optimize the parameters of SVM so as to avoid artificial arbitrariness and enhance the forecast accuracy.
实验证明，利用粒子群算法对评估函数进行参数优化是可行的，通过大量的训练后这种算法不但有效地提高了象棋程序的水平而且使象棋具有了自学习的能力。
The result of experience has proved the method using PSO to optimize the evaluation function is effectively to enhance the strength of the Chinese-chess program by self-learning.
建立以Fisher判别函数为优化目标的适应度，利用粒子群算法中多个随机粒子实现核函数参数的优化，改善了核主元分析方法的性能。
Firstly, it constructs a fitness function which Fisher discriminate function is optimized object, then WCPSO is used to optimize it by its many random particles to improve the performance of KPCA.
建立以Fisher判别函数为优化目标的适应度，利用粒子群算法中多个随机粒子实现核函数参数的优化，改善了核主元分析方法的性能。
Firstly, it constructs a fitness function which Fisher discriminate function is optimized object, then WCPSO is used to optimize it by its many random particles to improve the performance of KPCA.
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