{"title":"探索用于股市预测的递归神经网络方法的不同动态 - 对比研究","authors":"Ajit Mohan Pattanayak, Aleena Swetapadma, Biswajit Sahoo","doi":"10.1080/08839514.2024.2371706","DOIUrl":null,"url":null,"abstract":"The intricate and unpredictable nature of stock markets underscores the importance of precise forecasting for timely detection of downturns and subsequent rebounds. Various factors, including news,...","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring Different Dynamics of Recurrent Neural Network Methods for Stock Market Prediction - A Comparative Study\",\"authors\":\"Ajit Mohan Pattanayak, Aleena Swetapadma, Biswajit Sahoo\",\"doi\":\"10.1080/08839514.2024.2371706\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The intricate and unpredictable nature of stock markets underscores the importance of precise forecasting for timely detection of downturns and subsequent rebounds. Various factors, including news,...\",\"PeriodicalId\":8260,\"journal\":{\"name\":\"Applied Artificial Intelligence\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Artificial Intelligence\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1080/08839514.2024.2371706\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Artificial Intelligence","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/08839514.2024.2371706","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Exploring Different Dynamics of Recurrent Neural Network Methods for Stock Market Prediction - A Comparative Study
The intricate and unpredictable nature of stock markets underscores the importance of precise forecasting for timely detection of downturns and subsequent rebounds. Various factors, including news,...
期刊介绍：
Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.
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