Health prediction for king salmon via evolutionary machine learning with genetic programming-Reference-Cited by-同舟云学术

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

Published:2024-03-14 Issue: Volume: Page:1-26
ISSN:0303-6758
Container-title:Journal of the Royal Society of New Zealand
language:en
Short-container-title:Journal of the Royal Society of New Zealand

Author:

Zhang Fangfang¹^ORCID,Zhang Yuye¹,Casanovas Paula²,Schattschneider Jessica²,Walker Seumas P.²,Xue Bing¹,Zhang Mengjie¹,Symonds Jane E.²

Affiliation:

1. Centre for Data Science and Artificial Intelligence & School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand

2. Cawthron Institute, Nelson, New Zealand

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03036758.2024.2329228

Reference38 articles.

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2. Automatically Diagnosing Skin Cancers From Multimodality Images Using Two-Stage Genetic Programming

3. Alianso AS Syafaah L Faruq A. 2022. K-nearest neighbor imputation for missing value in hepatitis data. In: AIP Conference Proceedings. Vol. 2453. Malang: AIP Publishing.

4. Effects of fasting and temperature on the biological parameters, proximal composition, and fatty acid profile of Chinook salmon (Oncorhynchus tshawytscha) at different life stages

5. Banzhaf W, Nordin P, Keller RE, Francone FD. 1998. Genetic programming: an introduction: on the automatic evolution of computer programs and its applications. San Francisco, CA: Morgan Kaufmann.

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