通过遗传编程的进化机器学习预测帝王鲑的健康状况

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

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引用次数: 0

摘要

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。

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

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...

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来源期刊

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

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.