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机译:基于生成对抗网络的道路交通网络状态预测
Zhejiang Univ Technol Inst Cyberspace Secur Hangzhou Peoples R China|Zhejiang Univ Technol Coll Informat Engn Hangzhou Peoples R China;
Zhejiang Univ Technol Inst Cyberspace Secur Hangzhou Peoples R China|Zhejiang Univ Technol Coll Informat Engn Hangzhou Peoples R China;
Zhejiang Univ Technol Inst Cyberspace Secur Hangzhou Peoples R China|Zhejiang Univ Technol Coll Informat Engn Hangzhou Peoples R China;
Zhejiang Univ Technol Coll Informat Engn Hangzhou Peoples R China;
Zhejiang Univ Technol Inst Cyberspace Secur Hangzhou Peoples R China|Zhejiang Univ Technol Coll Informat Engn Hangzhou Peoples R China;
traffic engineering computing; neural nets; road traffic control; road traffic network state prediction; generative adversarial network; traffic state prediction; intelligent transportation systems; complex spatial influence; traffic networks; nonstationary temporal nature; traffic network state prediction model; generative adversarial framework; short-term memory networks; prediction accuracy; traffic network states;
机译:SATP-GAN:交通预测的基于自我关注的生成对抗网络
机译:使用生成对抗网络生成基于流的网络流量
机译:基于生成的对冲网络,使用较小的数据集自动化交通事故检测
机译:图卷积生成对抗网络的光网络流量预测
机译:基于生成对抗性网络的改进语音增强算法
机译:基于条件Wassersein生成对抗网络的多种蛋白质赖氨酸改性位点的预测与分析
机译:基于流量的网络流量生成使用生成的对抗性网络