...（AntColonyOptimizationAlgorithms）；源 于对鸟群捕食的行为研究的粒子群优化算法（Particle Swarm Optimization Algorithms）以及根据达尔文进化理论而来遗传算法（GeneticAlgorithms）。
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Used Particle Swarm Optimization algorithms to optimize the connection weight of the net, Particle Swarm Optimization algorithm was used to confirm the initial value then achieve the definite precision by the study of the BP networking.
神经网络训练时引入粒子群优化算法对其连接权值进行优化,利用粒子群算法进行粗精度的学习以确定初值,再采用BP神经网络完成给定精度的学习。
参考来源 - 基于粒子群—神经网络的电价预测与水电厂报价策略研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Three improved particle swarm optimization algorithms are proposed.
提出了三种改进的微粒群算法。
To solve the equation constrained optimization problems, two new particle swarm optimization algorithms are presented. The experimental results show the algorithms are effective.
提出了求解有等式约束优化问题的两种新粒子群优化算法，数值试验结果表明，算法是有效的。
The computer simulation results showed that the proposed algorithm was superior to original particle swarm optimization algorithms and was effective in separating nonlinear blind sources.
计算机仿真结果表明该算法的收敛性能优于粒子群优化算法，并且在非线性盲信号分离中是有效的。
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