助手标题
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
共[46]条 当前为第41条到46条
 

相关语句
粒子群算法
    After calculating sensitivity of the node,the very node needed reactive compensation can be found,then using PSO algorithm to optimize the network,which compared with the PSO algorithm can decrease the searching time of the particle and complete reactive optimization of the network.
    然后再利用粒子群算法对网络进行优化,与纯粹的粒子算法相比,节省了计算时间,而且较理想完成网络节点的无功优化;
    The normal particle swarm optimization(PSO) algorithm can not attend convergence speed,global searching and local precise searching capability synchronously. The paper proposes an improved PSO algorithm for optimal power flow calculation of electric power system. The research direction of PSO algorithm in the future is also indicated.
    标准的粒子群优化(PSO)算法一般不能兼顾收敛速度、全局探索能力和局部精细搜索能力,因此,提出了改进粒子群算法以解决电力系统的最优潮流计算问题,同时指出今后粒子群算法的研究方向。
    Experimental results on variety benchmark problems demonstrate that the proposed algorithm effectively balances the proportion of optimal and non-optimal particles, thus can obtain better population diversity and restrain the premature convergence encountered by the standard PSO algorithm when solving high-dimensional multimodal problems.
    在大量基准问题上的实验结果显示,提出的算法能有效保持优秀粒子与非优粒子所占比例的均衡性,维持了种群的多样性,避免了经典粒子群算法在高维、多峰问题上的早熟收敛现象。
    In accordance with the feature of non-linear and time varying for ferment process,the neural network model is established to estimate the concentration of product. Based on this model,PSO algorithm is applied to reach the optimum and optimal trajectory for the ferment process of L-Asparaginase Ⅱ. By online adjustment,the tracing control to the optimal trajectory is implemented.
    针对发酵过程的非线性、时变等特点,建立了基于BP神经网络的产物浓度预估模型,并在此模型的基础上,利用改进的粒子群算法(PSO)实现对L-天冬酰胺酶II发酵过程控制参数的寻优,以确定该过程的优化轨线,通过在线调整实现对优化轨线的跟踪控制,实验应用结果表明效果良好。
    Based on the basic PSO(Particle Swarm Optimization) algorithm,this paper designs a new self-adaptive & interval-constrained PSO algorithm.
    基于常规粒子群算法,设计了一种域自适应型粒子群算法
    Based on the qualitative analysis, using the whole process simulation system integrated with the PSO algorithm, the width spreading model is optimized quantificationally, and a good effect is obtained.
    在定性分析的基础上,利用全过程模拟系统结合粒子群算法,对宽展模型进行了定量优化,取得了很好的效果。
 

首页上一页123下一页尾页 

 
CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社