Results 41 to 50 of about 1,332 (147)
DGA malicious domain name identification based on XGBoost and particle swarm optimization algorithm [PDF]
Domain generation algorithms (DGA) have become a common method of network attacks. To enhance the detection capability for DGA malicious domains, a method for malicious domain identification based on XGBoost and particle swarm optimization (PSO ...
CHEN Weijie +3 more
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Contact plan design based on bi-directional particle swarm optimization in satellite network [PDF]
, 2019 Aiming at the problems of time-varying topology,intermittent connection,and constrained resource in satellite network,a contact plan design (CPD) scheme based on bi-directional particle optimization (BPSO) algorithm was proposed.Firstly,the task-based ...
Cuiqin DAI, Huang TANG, Linfeng GUO
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Gaoya dianqi, 2018 为有效提高变压器故障诊断准确率,文中将粒子群优化算法与多分类相关向量机方法相结合,构建了一种基于粒子群优化多分类相关向量机的方法用以变压器故障诊断。该方法首先将油中溶解气体与4种特征气体比值相结合作为故障特征量,以进一步丰富故障信息。其次,利用粒子群优化算法并结合训练样本数据对多分类相关向量机的核参数进行优化,以获得能够最优的及能有效提高故障分类效率的参数。最后,将9种特征量作为特征输入,并利用已训练完毕的多分类相关向量机进行故障诊断。经实例分析表明,该方法使故障特征量与故障分类模型得到了有效补充 ...
刘益岑 +5 more
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Research on PSO-based intuitionistic fuzzy kernel clustering algorithm [PDF]
, 2015 The intuitionistic fuzzy kernel c-means clustering algorithm has several problems such as sensitivity to the ini-tial value,low convergence speed,etc.To overcome these shortages,the particle swarm optimization (PSO) algorithm with powerful ability of ...
ANGRui W +3 more
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Gaoya dianqi, 2018 针对基本粒子群算法（particle swarm optimization algorithm,PSO）局部寻优能力差及易早熟收敛的情况,提出一种融入模拟退火思路的自适应粒子群混合算法（simulated annealing-adaptive particle swarmoptimization algorithm,SA-APSO）,在惯性权重变化-自适应粒子群基础上融入退火思想,以一定的随机概率接收最优值,能有效提升全局寻优能力并克服早熟收敛现象。利用测试函数进行的仿真结果表明SA ...
徐艳春 +4 more
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Parameters Optimization of Robot Arm PID Controllers Based on PSO Algorithm [PDF]
, 2011 机械臂的工作环境复杂,对其工作的响应指标要求较高。PId控制受限于机械臂的数学模型的复杂性与不精确性,导致经典的参数整定方法在实际生产中适应性不良或性能欠佳。文章基于MATlAb/SIMulInk将PSO算法(粒子群优化算法)用于机械臂PId控制器的参数优化中,通过对3关节连杆机械臂单次拉伸动作的建模仿真研究,结果表明:使用此方法后,机械臂各关节响应的调节时间和超调量都得到明显的优化。The robot arm always runs in a complex condition,and the ...
兰维瑶, 刘东, 喻骁
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Optimization design of an acoustic cover layer for a cylindrical cavity based on porous materials [PDF]
During the launch and flight of carrier rockets, the acoustic and vibrational excitations generated by the external environment pose significant threats to their internal payloads.
Bohan ZHANG, Jili RONG, Xiuyan CHENG
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Self-adapted task allocation algorithm with complicated coalition in wireless sensor network [PDF]
, 2014 Considering the real-time requirement and some specific limitations (e.g.insufficient computing resource,energy constraint,etc) in task scheduling of wireless sensor networks,different priorities were assigned to tasks according to their deadline,and an ...
Cheng-yu CHEN +3 more
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Gaoya dianqi, 2016 人工神经网络技术已经在变压器的状态诊断得到应用,为了克服故障分析中BP神经网络存在的不足,提出了一种自适应混沌粒子群优化神经网络在变压器故障诊断的新方法。该算法通过进化速度因子和聚集因子调整惯性权重,并改进学习因子,引入混沌系统,构成混沌粒子群算法优化神经网络参数,有效地克服常规BP算法训练收敛速度慢、易陷入局部极小值等缺点。最后基于DGA对变压器故障实例分析仿真,对比常规变压器诊断方法结果表明,该算法能够提高诊断效率以及故障模式识别的准确性。
苗长新, 申坤, 钟世华, 柳狄
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Study of Credit Risk Assessment of Enterprise Based on PSO-BP Neural Network [PDF]
, 2009 企业信用风险评估是金融领域的重要课题。本文针对单独运用bP神经网络评估信用风险时存在的不足,提出了一种基于PSO-bP神经网络的企业信用风险评估模型。该模型首先应用主成分分析方法降低输入bP网络的信用评估指标维数,并且采用粒子群优化算法优化bP神经网络的权值。实验表明,新模型采用的算法具有收敛速度快,预测精度高的优点,是一种有效可靠的企业信用风险评估模型。Credit risk assessment of enterprise is a very important problem in the ...
董槐林, 郑宇辉, 郭阳
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