1) B-QPSO algorithm
B-QPSO算法
1.
QPSO algorithm based on bounded mutation operator,named B-QPSO algorithm,is presented.
引入一种基于边界变异的QPSO算法,即B-QPSO算法。
2) QPSO algorithm
QPSO算法
1.
Then, PSO algorithm and QPSO algorithm are systematically introduced.
本文首先阐述了Ad Hoc自组织网的关键技术和安全性需要,接着又系统介绍了PSO算法和QPSO算法。
2.
This article introduces the basic principles of genetic algorithms and KDD99 data sets,and then use genetic algorithm,PSO algorithm and the QPSO algorithm were carried out to optimize the wavelet neural network to build their own model,the final data set by KDD99 were all on the simulation model come the effects of QPSO evolutionary algorithm is superior to the other two algorithms.
本文首先介绍了遗传算法的基本原理和KDD99数据集,而后运用遗传算法,PSO算法以及QPSO算法分别对小波神经网络进行优化构建各自的模型,最后通过在KDD99数据集上分别进行各个模型的仿真实验,得出QPSO进化算法的效果明显优于另外两种算法。
3.
This article introduces the basic principles of genetic algorithms and KDD99 data sets,and then genetic algor-ithm,PSO algorithm and the QPSO algorithm were used to optimize the wavelet neural network to build their own model,the final data set by KDD99 on the simulation model come the effects of QPSO evolutionary algorithm are superior to the other two algorithms.
介绍了遗传算法的基本原理和KDD99数据集,而后运用遗传算法,PSO算法以及QPSO算法分别对小波神经网络进行优化构建各自的模型,最后通过在KDD99数据集上分别进行各个模型的仿真实验,得出QPSO进化算法的效果明显优于另外两种算法。
3) QPSO gene clustering algorithm
QPSO基因聚类算法
1.
This paper apply quantum-behaved particle swarm optimization algorithm (QPSO) to the gene cluster analysis, which constitutes QPSO gene clustering algorithm.
目前应用在基因表达数据聚类上的算法有很多,本文将具有量子行为的微粒群优化算法(QPSO)应用到基因聚类分析当中,并通过实验比较说明了QPSO基因聚类算法的优越性。
4) QPSO(Quantum Particle Swarm Optimization)
量子粒子群优化算法(QPSO)
5) B-B algorithm
B-B算法
1.
In this paper,we use dynamic factor model and B-B algorithm to investigate the common business cycle and characteristics among East Asia countries(regions) from 1993q1 to 2008q3.
本文运用动态因子模型和B-B算法,以1993q1-2008q3时间段内GDP季度数据为基础,考察了东亚十国(地区)共同经济周期及其具体特征。
6) QPSO(Quantum-behaved Particle Swarm Optimization) algorithm
基于量子行为的粒子群优化算法QPSO算法
补充资料：[3-(aminosulfonyl)-4-chloro-N-(2.3-dihydro-2-methyl-1H-indol-1-yl)benzamide]
分子式：C16H16ClN3O3S
分子量：365.5
CAS号：26807-65-8
性质：暂无
制备方法：暂无
用途：用于轻、中度原发性高血压。
分子量：365.5
CAS号：26807-65-8
性质：暂无
制备方法：暂无
用途：用于轻、中度原发性高血压。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条