利用不同的神经网络拓扑进行无人机需求预测

2013 IEEE 2nd International Conference Actual Problems of Unmanned Air Vehicles Developments Proceedings (APUAVD) Pub Date : 2013-10-01 DOI:10.1109/APUAVD.2013.6705283

O. Chumachenko, V. Gorbatiuk

{"title":"利用不同的神经网络拓扑进行无人机需求预测","authors":"O. Chumachenko, V. Gorbatiuk","doi":"10.1109/APUAVD.2013.6705283","DOIUrl":null,"url":null,"abstract":"According to modern researches and reports there will be significant growth in UAV sector. This paper introduces another method of forecasting that can be used to predict the demand for UAV of different types.","PeriodicalId":400843,"journal":{"name":"2013 IEEE 2nd International Conference Actual Problems of Unmanned Air Vehicles Developments Proceedings (APUAVD)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Forecasting the demand for UAV using different neural networks topology\",\"authors\":\"O. Chumachenko, V. Gorbatiuk\",\"doi\":\"10.1109/APUAVD.2013.6705283\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"According to modern researches and reports there will be significant growth in UAV sector. This paper introduces another method of forecasting that can be used to predict the demand for UAV of different types.\",\"PeriodicalId\":400843,\"journal\":{\"name\":\"2013 IEEE 2nd International Conference Actual Problems of Unmanned Air Vehicles Developments Proceedings (APUAVD)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 2nd International Conference Actual Problems of Unmanned Air Vehicles Developments Proceedings (APUAVD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APUAVD.2013.6705283\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 2nd International Conference Actual Problems of Unmanned Air Vehicles Developments Proceedings (APUAVD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APUAVD.2013.6705283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

根据现代研究和报告，无人机领域将有显着增长。本文介绍了另一种预测方法，可用于预测不同类型无人机的需求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Forecasting the demand for UAV using different neural networks topology

According to modern researches and reports there will be significant growth in UAV sector. This paper introduces another method of forecasting that can be used to predict the demand for UAV of different types.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2013 IEEE 2nd International Conference Actual Problems of Unmanned Air Vehicles Developments Proceedings (APUAVD)

自引率

0.00%

发文量