{"title":"小波神经网络模型在短期交通流量预测中的高效应用:敏感性分析","authors":"Sonia Mrad, R. Mraihi, A. Murthy","doi":"10.1016/j.ijtst.2024.02.004","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":4,"journal":{"name":"ACS Applied Energy Materials","volume":"19 11","pages":""},"PeriodicalIF":5.5000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficient Implementation of a Wavelet Neural Network Model for Short-Term Traffic Flow Prediction: Sensitivity Analysis\",\"authors\":\"Sonia Mrad, R. Mraihi, A. Murthy\",\"doi\":\"10.1016/j.ijtst.2024.02.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":4,\"journal\":{\"name\":\"ACS Applied Energy Materials\",\"volume\":\"19 11\",\"pages\":\"\"},\"PeriodicalIF\":5.5000,\"publicationDate\":\"2024-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Energy Materials\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.ijtst.2024.02.004\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Energy Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.ijtst.2024.02.004","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
期刊介绍:
ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.