Titlebook: Genetic and Evolutionary Computing; Proceedings of the F Jeng-Shyang Pan,Zhigeng Pan,Jerry Chun-Wei Lin Conference proceedings 2024 The Edi

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書(shū)目名稱(chēng)Genetic and Evolutionary Computing影響因子(影響力)




書(shū)目名稱(chēng)Genetic and Evolutionary Computing影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Genetic and Evolutionary Computing網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Genetic and Evolutionary Computing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Genetic and Evolutionary Computing被引頻次




書(shū)目名稱(chēng)Genetic and Evolutionary Computing被引頻次學(xué)科排名




書(shū)目名稱(chēng)Genetic and Evolutionary Computing年度引用




書(shū)目名稱(chēng)Genetic and Evolutionary Computing年度引用學(xué)科排名




書(shū)目名稱(chēng)Genetic and Evolutionary Computing讀者反饋




書(shū)目名稱(chēng)Genetic and Evolutionary Computing讀者反饋學(xué)科排名

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Coronation

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Expressway Traffic Speed Prediction Method Based on KF-GRU Model via ETC Data,t also help management departments plan and manage road resources more effectively. Through the utilization and extension of expressway ETC gantry transaction data, this paper proposes an expressway traffic speed prediction method combining Kalman Filter (KF) and Gated Recurrent Unit (GRU) models. B

engagement

Dynamic Brightness Adjustment of Tunnel Lighting Based on ETC Transaction Data,rious, and the energy-saving problem brought by tunnel lighting has gradually attracted everyone‘s attention. As a special section of the highway network, the lighting facilities in the tunnel need to run uninterruptedly for 24 h to solve the “black hole phenomenon” and “zebra effect” in part of the

engagement

Short-Time Traffic Flow Prediction of Highway Toll Station Based on Combined GRU-MLP Model,ict the short-time traffic flow at a time interval of 15 min, and compared with the single models such as SVM, LSTM, GRU, MLP, etc., and the 4 evaluation indexes of MAE, MAPE, RMSE, and R. are adopted to analyze the 5 models, and the results show that the paper The proposed GRU-MLP combination model

暴露他抗議

Real-Time Carbon Emission Monitoring and Prediction Method of Expressway Based on LSTM,are the main source of carbon emissions in China, of which road traffic accounts for a relatively high proportion. Reducing road traffic carbon emissions is an important way to achieve carbon emission reduction. Improving the unified statistical monitoring system of traffic carbon emissions and quan

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