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Three vertex degree correlations of fixed act-size collaboration networks
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作者 雷敏 赵清贵 侯振挺 《Journal of Central South University》 SCIE EI CAS 2011年第3期830-833,共4页
A rate equation approach was presented for the exact computation of the three vertex degree correlations of the fixed act-size collaboration networks.Measurements of the three vertex degree correlations were based on ... A rate equation approach was presented for the exact computation of the three vertex degree correlations of the fixed act-size collaboration networks.Measurements of the three vertex degree correlations were based on a rate equation in the continuous degree and time approximation for the average degree of the nearest neighbors of vertices of degree k,with an appropriate boundary condition.The rate equation proposed can be generalized in more sophisticated growing network models,and also extended to deal with related correlation measurements.Finally,in order to check the theoretical prediction,a numerical example was solved to demonstrate the performance of the degree correlation function. 展开更多
关键词 fixed act-size collaboration networks degree correlation function clustering coefficient Markov chain
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基于区域信息融合的风电场平均年发电量预测 被引量:5
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作者 王娜 邵霞 +1 位作者 高云鹏 万全 《湖南大学学报(自然科学版)》 EI CAS CSCD 北大核心 2015年第8期81-85,共5页
备选风电场在寿命周期内的平均年发电量是风电场宏观选址的一个重要参考判据.为了提高风电场平均年发电量的预测精度,提出了一种基于风电场附近多个气象站长期测风数据的区域信息融合的平均年发电量预测方法.首先分别建立各气象站与风... 备选风电场在寿命周期内的平均年发电量是风电场宏观选址的一个重要参考判据.为了提高风电场平均年发电量的预测精度,提出了一种基于风电场附近多个气象站长期测风数据的区域信息融合的平均年发电量预测方法.首先分别建立各气象站与风电场同期小时风速之间的相关模型,应用相关模型得到多个长期小时风速预测值,再用神经网络对长期小时风速预测值进行融合处理得出最终的小时风速预测值,在此基础上进行风电场平均年发电量的估算.仿真结果表明:本文提出的区域信息融合方法对年平均发电量的预测误差比采用单一气象站数据的预测误差最高可降低11.32%. 展开更多
关键词 平均年发电量 测量-相关-预测 信息融合 神经网络
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