对自适应粒子群算法引入变异算子，并对其进行改进，将其应用到淋巴瘤形态参数的分类问题上。
This paper adds mutation operator to adaptive PSO and apply it in the lymphoma morphology parameter classifier problems.
粒子群优化算法是一种基于种群搜索策略的自适应随机算法。
Particle swarm optimization is a kind of self-adaptive random algorithm based on group hunting strategy.
本文提出了一种新的基于群体适应度方差自适应变异的粒子群优化算法(AMPSO)。
A new adaptive mutation particle swarm optimizer (AMPSO), which is based on the variance of the population's fitness is presented.
提出并设计了一种基于粒子群优化算法的振动信号的自适应滤波模型。该滤波模型在计算机仿真测试中，获得了很高的效率和良好的结果。
A new adaptive filtering model based on particle swarm optimization (PSO) algorithm is proposed and designed. It is proved to be efficient and effective in the computer simulation example test.
提出了一种基于自适应型粒子群优化算法(APSO)的自动发电控制(agc)机组调配方案。
An adaptive particle swarm optimization (APSO) algorithm to solve the AGC unit dispatch problem in power system is proposed.
提出了一种新的自适应粒子群优化算法(AMPSO)。
A new self-adaptive particle swarm optimization (AMPSO) is presented.
将模式聚合和自适应广义粒子群算法相结合，提出了一种文本属性约简新方法。
A new method of text dimension reduction is brought forward, based on pattern aggregation and adaptive general particle swarm optimization (AGPSO).
提出的自适应粒子群优化算法，用于优化多层前馈神经网络的拓扑结构，提高了神经网络的学习质量和速度。
The structure of multi-layer feedback forward neural network is optimized by improved PSO. Learning quality and training speed of the neural network are improved.
为改善粒子群优化算法的搜索性能，提出一种飞行时间自适应调整的粒子群算法(FAA - P SO)。
To improve the searching performance of Particle Swarm Optimization (PSO), a modified PSO algorithm with flying time adaptively adjusted was proposed and named FAA-PSO algorithm.
通过自适应的离散粒子群算法来对核相似矩阵进行学习。
Uses the adaptive discrete particle swarm algorithm to learn the similar kernel matrix.
为了克服粒子群算法在求解多峰函数时极易陷入局部最优解的缺陷，提出一种基于自适应动态邻居广义学习的改进粒子群算法(ADPSO)。
As Particle Swarm Optimization (PSO) may easily get trapped in a local optimum, an improved PSO based on adaptive dynamic neighborhood and comprehensive learning named ADPSO was proposed.
该方法首先提取出视频中每帧的全局运动和局部运动特征，然后通过粒子群算法自适应地提取视频关键帧。
This method first extracted the global motion and local motion features in each frame, and video key frame was extracted by Particle Swarm Optimization (PSO) adaptively.
根据粒子群算法中的不确定性因素，提出自适应模糊的粒子群优化算法(AFPSO)。
An Adaptive Fuzzy Particle Swarm Optimization (AFPSO) based on the uncertainty of the PSO is proposed.
第二，提出一种飞行时将自适应调整的粒子群算法。
Second, a modified PSO algorithm with flying time adaptive adjusted is proposed.
第二，提出一种飞行时将自适应调整的粒子群算法。
Second, a modified PSO algorithm with flying time adaptive adjusted is proposed.
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