2022 International Communication Engineering and Cloud Computing Conference (CECCC)最新文献_第2页

Failure-Aware and Automated Disaster Backup in the 5G Core Network 5G核心网中的故障感知和自动灾难备份

2022 International Communication Engineering and Cloud Computing Conference (CECCC) Pub Date : 2022-10-28 DOI: 10.1109/CECCC56460.2022.10069046

Huahong Zhu, Jianzhao Li, Jianyuan Hu, Wenyun Li

引用次数: 0

CECCC 2022 Cover Page CECCC 2022封面

2022 International Communication Engineering and Cloud Computing Conference (CECCC) Pub Date : 2022-10-28 DOI: 10.1109/ceccc56460.2022.10069185

引用次数: 0

Application and Optimization of Long Short-term Memory in Time Series Forcasting 长短期记忆在时间序列预测中的应用与优化

2022 International Communication Engineering and Cloud Computing Conference (CECCC) Pub Date : 2022-10-28 DOI: 10.1109/CECCC56460.2022.10069825

Chenen Jin

{"title":"Application and Optimization of Long Short-term Memory in Time Series Forcasting","authors":"Chenen Jin","doi":"10.1109/CECCC56460.2022.10069825","DOIUrl":"https://doi.org/10.1109/CECCC56460.2022.10069825","url":null,"abstract":"Learning to keep information over the long time intervals by backpropagation usually spend a lot of time. Therefore, long short-term memory (LSTM) is introduced in this task with novelty and efficiency. With the advantage of truncating the gradient harmlessly, LSTM is able to connect thousands of time steps by forcing a constant error flow within special cells contains constant error carousels. The multiplication gate unit learns open and close access to a constant stream of errors. In comparison with recurrent cascade correlation, real-time recurrent learning, and chunking of neural sequence, LSTM brings about more successful results and has a short learning time. LSTM is also able to solve complicated, artificially long-lag tasks. Based on its superiority, LSTM network serves as a useful tool in time series forecasting. We use the LSTM network to forecast the cases of varicella in the future. And the current LSTM network is optimized to increase the efficiency. Finally, the training time is decreased and the accuracy of trained network is increased simultaneously when the quantity of hidden units is changed from 200 to 100.","PeriodicalId":155272,"journal":{"name":"2022 International Communication Engineering and Cloud Computing Conference (CECCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131187281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Virtual Network Embedding Resource Trading and Expanding Problem of Time-Varying Traffic Problem in EONs EONs中虚拟网络嵌入资源交易及时变流量扩展问题

2022 International Communication Engineering and Cloud Computing Conference (CECCC) Pub Date : 2022-10-28 DOI: 10.1109/CECCC56460.2022.10069485

D. Din

引用次数: 0

Analysis and Improvement of Three Kinds of Exoskeleton Sensors 三种外骨骼传感器的分析与改进

2022 International Communication Engineering and Cloud Computing Conference (CECCC) Pub Date : 2022-10-28 DOI: 10.1109/CECCC56460.2022.10069045

Yi-Lu Pan

引用次数: 0

Research and Implementation of a Tamed Spread Spectrum System Based on Walsh Coding 基于Walsh编码的扩频系统的研究与实现

2022 International Communication Engineering and Cloud Computing Conference (CECCC) Pub Date : 2022-10-28 DOI: 10.1109/CECCC56460.2022.10069048

Zhiwang Xu, Yu Zhang, Yubing Han

引用次数: 0