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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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書目名稱Genetic and Evolutionary Computing
副標題Proceedings of the F
編輯Jeng-Shyang Pan,Zhigeng Pan,Jerry Chun-Wei Lin
視頻videohttp://file.papertrans.cn/383/382653/382653.mp4
概述Presents latest research from the 15th International Conference on Genetic & Evolutionary Computing (ICGEC 2023).Brings the new techniques and systems from the famous researchers, scholars, and profes
叢書名稱Lecture Notes in Electrical Engineering
圖書封面Titlebook: Genetic and Evolutionary Computing; Proceedings of the F Jeng-Shyang Pan,Zhigeng Pan,Jerry Chun-Wei Lin Conference proceedings 2024 The Edi
描述.This second volume of conference proceedings contains selected papers presented at ICGEC 2023, the 15th International Conference on Genetic and Evolutionary Computing, held on October 6-8, 2023 in Kaohsiung, Taiwan. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers may know the up-to-date techniques of the mentioned topics, including technologies for next-generation network environments, recent progress in computational electromagnetic dynamics, future cyber security, privacy and forensics for advanced systems, data mining techniques and its applications, optimization models in deep learning and machine learning. It will?help readers bring new ideas or apply the designed approaches from the collected papers to their professional jobs..
出版日期Conference proceedings 2024
關鍵詞Genetic Computing; Intelligent Computation; Evolutionary Computing; Swarm Intelligence; Grid Computing; I
版次1
doihttps://doi.org/10.1007/978-981-99-9412-0
isbn_softcover978-981-99-9414-4
isbn_ebook978-981-99-9412-0Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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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
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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
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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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