{"title":"自然启发计算的最新趋势及其在深度学习中的应用","authors":"Vandana Bharti, Bhaskar Biswas, K. K. Shukla","doi":"10.1109/Confluence47617.2020.9057841","DOIUrl":null,"url":null,"abstract":"Nature-inspired computations are commonly recognized optimization techniques that provide optimal solutions to a wide spectrum of computational problems. This paper presents a brief overview of current topics in the field of nature-inspired computation along with their most recent applications in deep learning to identify open challenges concerning the most relevant areas. In addition, we highlight some recent hybridization methods of nature-inspired computation used to optimize the hyper-parameters and architectures of a deep learning framework. Future research as well as prospective deep learning issues are also presented.","PeriodicalId":180005,"journal":{"name":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Recent Trends in Nature Inspired Computation with Applications to Deep Learning\",\"authors\":\"Vandana Bharti, Bhaskar Biswas, K. K. Shukla\",\"doi\":\"10.1109/Confluence47617.2020.9057841\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nature-inspired computations are commonly recognized optimization techniques that provide optimal solutions to a wide spectrum of computational problems. This paper presents a brief overview of current topics in the field of nature-inspired computation along with their most recent applications in deep learning to identify open challenges concerning the most relevant areas. In addition, we highlight some recent hybridization methods of nature-inspired computation used to optimize the hyper-parameters and architectures of a deep learning framework. Future research as well as prospective deep learning issues are also presented.\",\"PeriodicalId\":180005,\"journal\":{\"name\":\"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/Confluence47617.2020.9057841\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Confluence47617.2020.9057841","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recent Trends in Nature Inspired Computation with Applications to Deep Learning
Nature-inspired computations are commonly recognized optimization techniques that provide optimal solutions to a wide spectrum of computational problems. This paper presents a brief overview of current topics in the field of nature-inspired computation along with their most recent applications in deep learning to identify open challenges concerning the most relevant areas. In addition, we highlight some recent hybridization methods of nature-inspired computation used to optimize the hyper-parameters and architectures of a deep learning framework. Future research as well as prospective deep learning issues are also presented.