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发表于 2025-3-21 19:33:48
书目名称Handbook of Evolutionary Machine Learning影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0421300<br><br> <br><br>书目名称Handbook of Evolutionary Machine Learning影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0421300<br><br> <br><br>书目名称Handbook of Evolutionary Machine Learning网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0421300<br><br> <br><br>书目名称Handbook of Evolutionary Machine Learning网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0421300<br><br> <br><br>书目名称Handbook of Evolutionary Machine Learning被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0421300<br><br> <br><br>书目名称Handbook of Evolutionary Machine Learning被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0421300<br><br> <br><br>书目名称Handbook of Evolutionary Machine Learning年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0421300<br><br> <br><br>书目名称Handbook of Evolutionary Machine Learning年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0421300<br><br> <br><br>书目名称Handbook of Evolutionary Machine Learning读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0421300<br><br> <br><br>书目名称Handbook of Evolutionary Machine Learning读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0421300<br><br> <br><br>
值得
发表于 2025-3-21 21:20:20
Wolfgang Banzhaf,Penousal Machado,Mengjie ZhangExplores various ways evolution can help improve current methods of machine learning.Presents real-world applications in medicine, robotics, science, finance, and other domains.Serves as an essential
虚弱的神经
发表于 2025-3-22 03:48:16
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anarchist
发表于 2025-3-22 06:51:37
978-981-99-3816-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
即席
发表于 2025-3-22 11:25:49
Handbook of Evolutionary Machine Learning978-981-99-3814-8Series ISSN 1932-0167 Series E-ISSN 1932-0175
IRK
发表于 2025-3-22 16:26:42
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liposuction
发表于 2025-3-22 19:32:51
Fundamentals of Evolutionary Machine Learningrstand evolutionary machine learning. Then we take a look at its roots, finding that it has quite a long history, going back to the 1950s. We introduce a taxonomy of the field, discuss the major branches of evolutionary machine learning, and conclude by outlining open problems.
高兴一回
发表于 2025-3-22 22:35:06
Eberhard Schaich,Alfred HamerleThis chapter provides an overview of evolutionary approaches to supervised learning. It starts with the definition and scope of the opportunity, and then reviews three main areas: evolving general neural network designs, evolving solutions that are explainable, and forming a synergy of evolutionary and gradient-based methods.
chronicle
发表于 2025-3-23 05:08:20
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充气球
发表于 2025-3-23 06:50:16
1932-0167science, finance, and other domains.Serves as an essential This book, written by leading international researchers of evolutionary approaches to machine learning, explores various ways evolution can address machine learning problems and improve current methods of machine learning. Topics in this bo