E. Borodin, S. Bidenko, A. Bengert, I. Muchkaeva, A. Kirilenko, I. Hramov, S. Bidenko
{"title":"APPLICATION OF ARTIFICIAL NEURAL NETWORK APPARATUS FOR SECURINGNAVIGATIONAL AND ECOLOGICAL SAFETY IN COMPLICATED DYNAMIC SITUATION","authors":"E. Borodin, S. Bidenko, A. Bengert, I. Muchkaeva, A. Kirilenko, I. Hramov, S. Bidenko","doi":"10.34046/aumsuomt105/9","DOIUrl":null,"url":null,"abstract":"Particulars o f factors o f navigational and ecological safety on the example o f the Obb Bay when sailing in areas \nwith the situation quickly changed. Apparatus o f artificial neural networks for operational situation appraisal \nin the nearest marine ship's zone has been suggested. Basic types o f neural network architecture suitable for \nanalysis o f dynamic territorial situation has been also advised. Comparison o f artificial neural structure on \nparameter o f fast acting and exactness applicable for the task o f situation appraisal has been made. It shows the \nadvantage o f recurrent neural network","PeriodicalId":19521,"journal":{"name":"Operation of Maritime Transport","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Operation of Maritime Transport","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34046/aumsuomt105/9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Particulars o f factors o f navigational and ecological safety on the example o f the Obb Bay when sailing in areas
with the situation quickly changed. Apparatus o f artificial neural networks for operational situation appraisal
in the nearest marine ship's zone has been suggested. Basic types o f neural network architecture suitable for
analysis o f dynamic territorial situation has been also advised. Comparison o f artificial neural structure on
parameter o f fast acting and exactness applicable for the task o f situation appraisal has been made. It shows the
advantage o f recurrent neural network