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孙晓燕
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[31] 邵慧,sunxiaoyan,zhaolin,Wang, Jingren.Interval Day-Ahead Load Forecast of Micro Grid with Fuzzy Similar Data Selection and Gaussian Process,2019,p1578-1583
[32] 陈杨,sunxiaoyan,Hu, Yao.Federated learning assisted interactive EDA with dual probabilistic models for personalized search,2019,v 11655 LNCS,p374-383
[33] Hu, Yao,sunxiaoyan,Nie, Xin,Li, Yuzhu,Liu, Lian.An Enhanced LSTM for Trend Following of Time Series,2019,v 7,p34020-34030
[34] 陈杨,sunxiaoyan,gongdunwei,yaoxiangjuan.DPM-IEDA: Dual probabilistic model assisted interactive estimation of distribution algorithm for personalized search,2019,v 7,
[35] Hu, Yao,sunxiaoyan,陈杨,Lu, Zishuai.Model and Feature Aggregation Based Federated Learning for Multi-sensor Time Series Trend Following,2019,v 11506 LNCS,p233-246
[36] sunxiaoyan,Liu, Lian,Geng, Cong,yangshaofeng.Fast Data Reduction with Granulation-Based Instances Importance Labeling,2019,v 7,p33587-33597
[37] 暴琳,sunxiaoyan.Restricted Boltzmann Machine-Assisted Estimation of Distribution Algorithm for Complex Problems,2018,2018;5;
[38] 邵辉,sunxiaoyan.Interval Day-ahead Load Forecast of Micro Grid with Fuzzy Similar Data Selection and Gaussian Process,2018
[39] sunxiaoyan.Interactive Genetic Algorithm with Group Intelligence Articulated Possibilistic Condition Preference Model,2017
[40] sunxiaoyan.基于可能性条件偏好网络的交互式遗传算法及其应用,2017,38;06;1-5
total76 4/8
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