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- Inertia weight algorithm 惯性权重法
- In this algorithm the inertia weight was set to zero, and by simulated annealing algorithm it reproduces the positions of those particles whose evolution has been ceased. 该算法使粒子的飞行无记忆性,结合模拟退火算法重新生成停止进化粒子的位置,增强了全局搜索能力。
- The particle swarm optimization algorithm with constriction factor and linear descend inertia weight,namely W-K-PSO is applied to the intelligent schedule of vehicles oper. 采用兼顾公交公司与乘客双方利益的公交车辆调度模型,将带收缩因子和线性递减惯性权重的粒子群优化算法(W-K-PSO)应用到公交智能排班中。
- With adopting mutation and re-randomizing operator and introducing adaptive inertia weight, the global convergence performance and the effectiveness of the proposed algorithm is enhanced. 通过变异、重新随机化及采用自适应的惯性权重,提高了算法的搜索效率及收敛性。
- The MPSO employs local version constriction factor method and global version inertia weight method simultaneously to achieve relatively high performance. MPSO同时采用局部模式压缩因子方法和全局模式惯性权重方法以获得相对较高的性能。
- Scientific and technical literatures from computing are used as testing documents, also the improved weight algorithm and the retrieval results about two LSI systems are analyzed. 并以计算机类的科技文献作为测试文档,对改进的权重算法和改进前后LSI系统的检索结果进行分析。
- Proposes an improved inertia weight mutation particle swarm optimization to solve the premature convergence problem,and to avoid the slowconvergence in the later convergence phase. 针对微粒群优化算法的早熟收敛和进化后期收敛速度慢等问题,提出了一种改进惯性权重的变异微粒群优化算法。
- Based on analyzing existing inertia weight adjustment strategy,a novel method,Chaotic Inertia Weight strategy(CIW) is proposed,which describes the inertia weight as a chaotic variable. 在分析已有的惯性权值调整策略的基础上,提出了混沌惯性权值调整策略,该策略将惯性权值用一个混沌变量来描述。
- The conclusion is that the convergence of the strategy of inertia weight reduction adding the constriction factor is better than that of the strategies of linear inertia weight reduction only. 结论是:采用线性递减惯性权重策略加上收缩因子法比单独采用线性递减惯性权重策略的收敛性能好。
- The key technologies are studied and the improved term weight algorithm of VSM is put forward.Then the paper sets out the platform’s function model, and its design and development. 介绍平台的框架结构,对其关键技术进行研究,提出一种向量空间模型特征词权重的改进算法,然后阐述平台的功能模型和各模块的设计与开发。
- In this paper,a flexible KNN algorithm is developed with varying-K algorithm and weighting algorithm,which improves the effect of text categorization. 基于近邻序列的排序,提出了变K算法,并且结合效果较好权重算法,形成了柔性的KNN算法,提高了分类的效果。
- Adaptive Particle Swarm Algorithm with Dynamically Changing Inertia Weight 一种动态改变惯性权的自适应粒子群算法
- nonlinear strategies of decreasing inertia weight 非线性权值递减策略
- linear descend inertia weight(LDW) 线性递减惯性权重
- Second, it carries on the experiments to compare the TF*IDF and other weight algorithms based on the entropy function, resulting that TF*IDF is better than others. 然后,对TF*IDF和基于熵函数的权重算法进行了实验比较,结果TF*IDF效果要好于其他算法。
- Ideas of inertia and complacency are both wrong. 无所作为和骄傲自满的论点都是错误的。
- I get a feeling of inertia in a hot summer day. 在盛夏我有一种懒洋洋的感觉。
- weight algorithm with multiple supports 权重式多重支持度
- Linear Decreasing Inertia Weight PSO (LDWPSO) 线性下降权重粒子群(LDWPSO)
- Using a weighting algorithm, typically a fuzzy logic algorithm, a system in accordance with the present invention can distinguish between targets in consecutive radar sweeps to identify self-alerts. 利用加权算法,通常利用模糊逻辑算法,根据本发明的系统可以将连续雷达扫描中的各目标区分开以识别自告警信号。