Petr Pylov, A. Dyagileva, E. A. Nikolaeva, A. Tat’yana, Shalygina
{"title":"用于建筑风格自动识别的智能模型","authors":"Petr Pylov, A. Dyagileva, E. A. Nikolaeva, A. Tat’yana, Shalygina","doi":"10.31675/1607-1859-2023-25-4-38-44","DOIUrl":null,"url":null,"abstract":"The growing interest to the digital development of the society stipulate studies of its history described by the artifacts of structures of past generations. Since each epoch has its own characteristics, architectural ideas inextricably linking certain years to the architectural style of buildings, have changed.Purpose: The aim of this work is the software development for the identification the architectural style of architectural a building.Research findings: For anyone interested in history, regardless of their gender and age, it is sometimes not enough to read historical books in order to determine the architectural style of a building. The artificial intelligence model is proposed to fill this gap.Practical implications: The proposed model can be used to supplement the practical experience in the field.","PeriodicalId":45402,"journal":{"name":"Tomsk State University Journal","volume":"21 1","pages":""},"PeriodicalIF":0.1000,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intelligent model for automated identification of architectural style\",\"authors\":\"Petr Pylov, A. Dyagileva, E. A. Nikolaeva, A. Tat’yana, Shalygina\",\"doi\":\"10.31675/1607-1859-2023-25-4-38-44\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The growing interest to the digital development of the society stipulate studies of its history described by the artifacts of structures of past generations. Since each epoch has its own characteristics, architectural ideas inextricably linking certain years to the architectural style of buildings, have changed.Purpose: The aim of this work is the software development for the identification the architectural style of architectural a building.Research findings: For anyone interested in history, regardless of their gender and age, it is sometimes not enough to read historical books in order to determine the architectural style of a building. The artificial intelligence model is proposed to fill this gap.Practical implications: The proposed model can be used to supplement the practical experience in the field.\",\"PeriodicalId\":45402,\"journal\":{\"name\":\"Tomsk State University Journal\",\"volume\":\"21 1\",\"pages\":\"\"},\"PeriodicalIF\":0.1000,\"publicationDate\":\"2023-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tomsk State University Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31675/1607-1859-2023-25-4-38-44\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tomsk State University Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31675/1607-1859-2023-25-4-38-44","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Intelligent model for automated identification of architectural style
The growing interest to the digital development of the society stipulate studies of its history described by the artifacts of structures of past generations. Since each epoch has its own characteristics, architectural ideas inextricably linking certain years to the architectural style of buildings, have changed.Purpose: The aim of this work is the software development for the identification the architectural style of architectural a building.Research findings: For anyone interested in history, regardless of their gender and age, it is sometimes not enough to read historical books in order to determine the architectural style of a building. The artificial intelligence model is proposed to fill this gap.Practical implications: The proposed model can be used to supplement the practical experience in the field.