MAXIM
发表于 2025-3-21 18:15:36
书目名称Hydrometallurgy影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0430489<br><br> <br><br>书目名称Hydrometallurgy影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0430489<br><br> <br><br>书目名称Hydrometallurgy网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0430489<br><br> <br><br>书目名称Hydrometallurgy网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0430489<br><br> <br><br>书目名称Hydrometallurgy被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0430489<br><br> <br><br>书目名称Hydrometallurgy被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0430489<br><br> <br><br>书目名称Hydrometallurgy年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0430489<br><br> <br><br>书目名称Hydrometallurgy年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0430489<br><br> <br><br>书目名称Hydrometallurgy读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0430489<br><br> <br><br>书目名称Hydrometallurgy读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0430489<br><br> <br><br>
Mutter
发表于 2025-3-21 20:35:01
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Nonporous
发表于 2025-3-22 04:09:39
Michael L. Freeological studies: neural networks, evolutionary computing, p.Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically inspired algorithms (BIAs) to financial modelling...In a detailed introduction, the authors e
jettison
发表于 2025-3-22 07:08:13
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CREEK
发表于 2025-3-22 08:53:13
Michael L. Freeological studies: neural networks, evolutionary computing, p.Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically inspired algorithms (BIAs) to financial modelling...In a detailed introduction, the authors e
Hyperplasia
发表于 2025-3-22 13:21:41
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chalice
发表于 2025-3-22 18:59:52
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Cholecystokinin
发表于 2025-3-23 01:02:15
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POLYP
发表于 2025-3-23 01:55:46
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bifurcate
发表于 2025-3-23 06:48:39
Michael L. Freethe system is inspired by the neurobiology of the brain and particularly those areas responsible for emotions, decision making and behaviour execution, being the amygdala, the orbito-frontal cortex and the basal ganglia respectively. The learning problem is decomposed according to sources of reward.