Health prediction for king salmon via evolutionary machine learning with genetic programming

IF 2.1 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Journal of the Royal Society of New Zealand Pub Date : 2024-03-14 DOI:10.1080/03036758.2024.2329228
Fangfang Zhang, Yuye Zhang, Paula Casanovas, Jessica Schattschneider, Seumas P. Walker, Bing Xue, Mengjie Zhang, Jane E. Symonds
{"title":"Health prediction for king salmon via evolutionary machine learning with genetic programming","authors":"Fangfang Zhang, Yuye Zhang, Paula Casanovas, Jessica Schattschneider, Seumas P. Walker, Bing Xue, Mengjie Zhang, Jane E. Symonds","doi":"10.1080/03036758.2024.2329228","DOIUrl":null,"url":null,"abstract":"King (Chinook) salmon is the only salmon species farmed in Aotearoa New Zealand and accounts for over half of the world's production of king salmon. Determining the health status of king salmon eff...","PeriodicalId":49984,"journal":{"name":"Journal of the Royal Society of New Zealand","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Royal Society of New Zealand","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1080/03036758.2024.2329228","RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

King (Chinook) salmon is the only salmon species farmed in Aotearoa New Zealand and accounts for over half of the world's production of king salmon. Determining the health status of king salmon eff...
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过遗传编程的进化机器学习预测帝王鲑的健康状况
帝王(奇努克)鲑是新西兰奥特亚罗瓦唯一养殖的鲑鱼品种,占世界帝王鲑产量的一半以上。确定帝王鲑的健康状况对新西兰的经济发展至关重要。
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 去求助
来源期刊
Journal of the Royal Society of New Zealand
Journal of the Royal Society of New Zealand 综合性期刊-综合性期刊
CiteScore
4.60
自引率
0.00%
发文量
74
审稿时长
3 months
期刊介绍: Aims: The Journal of the Royal Society of New Zealand reflects the role of Royal Society Te Aparangi in fostering research and debate across natural sciences, social sciences, and the humanities in New Zealand/Aotearoa and the surrounding Pacific. Research published in Journal of the Royal Society of New Zealand advances scientific knowledge, informs government policy, public awareness and broader society, and is read by researchers worldwide.
期刊最新文献
Time-variations of wave energy and forecasting power availability at a site in Fiji using time-series, regression and ANN techniques Optical whispering gallery mode resonators: analysing thermo-optic tuning in a silicon sphere The powerful impact of teacher expectations: a narrative review Evolving multispectral sensor configurations using genetic programming for estuary health monitoring A ‘He Awa Whiria’ approach: integrating Māori knowledge and cultural values into audiological research and hearing health services
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1