Relationship between Marine Resources growth and Marine Economy Based on Neural Network

Gachuno Onesmus
{"title":"Relationship between Marine Resources growth and Marine Economy Based on Neural Network","authors":"Gachuno Onesmus","doi":"10.38007/foe.2022.030404","DOIUrl":null,"url":null,"abstract":": With the rapid growth of China's economy, people pay more and more attention to marine resources. In the process of growth and utilization, how to deal with the relationship with the marine ecological environment is also a great challenge for us. In this paper, the domestic and foreign research and analysis on protecting the marine environment, carrying out large-scale marine engineering activities and promoting sustainable fishery production are carried out, and classified and summarized. Through the establishment of models to predict the factors affecting the coastline of the coastal seabed zone and their change rules in different stages, according to the historical data of marine resources, artificial neural networks(NN) are constructed using NN algorithms to study the regional water and soil conservation planning and growth measures based on the marine ecological environment. Finally, the model is simulated and tested. The test results show that the marine resource growth model based on neural algorithm has short data processing time and low delay time, which indicates that the algorithm can meet the operational requirements of the marine resource model.","PeriodicalId":103481,"journal":{"name":"Frontiers in Ocean Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Ocean Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.38007/foe.2022.030404","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

: With the rapid growth of China's economy, people pay more and more attention to marine resources. In the process of growth and utilization, how to deal with the relationship with the marine ecological environment is also a great challenge for us. In this paper, the domestic and foreign research and analysis on protecting the marine environment, carrying out large-scale marine engineering activities and promoting sustainable fishery production are carried out, and classified and summarized. Through the establishment of models to predict the factors affecting the coastline of the coastal seabed zone and their change rules in different stages, according to the historical data of marine resources, artificial neural networks(NN) are constructed using NN algorithms to study the regional water and soil conservation planning and growth measures based on the marine ecological environment. Finally, the model is simulated and tested. The test results show that the marine resource growth model based on neural algorithm has short data processing time and low delay time, which indicates that the algorithm can meet the operational requirements of the marine resource model.
基于神经网络的海洋资源增长与海洋经济关系研究
随着中国经济的快速发展,人们越来越重视海洋资源。在生长和利用的过程中,如何处理好与海洋生态环境的关系也是我们面临的巨大挑战。本文对国内外在保护海洋环境、开展大规模海洋工程活动、促进渔业可持续生产等方面的研究分析进行了梳理,并进行了分类总结。通过建立模型预测海岸带海底岸线的影响因素及其在不同阶段的变化规律,根据海洋资源历史数据,利用神经网络算法构建人工神经网络(NN),研究基于海洋生态环境的区域水土保持规划和生长措施。最后对模型进行了仿真和测试。试验结果表明,基于神经算法的海洋资源增长模型具有数据处理时间短、延迟时间低的特点,表明该算法能够满足海洋资源模型的运行要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信