Nibble
发表于 2025-3-23 09:52:59
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aquatic
发表于 2025-3-23 17:22:32
978-3-642-06573-6Springer-Verlag Berlin Heidelberg 2006
易改变
发表于 2025-3-23 21:33:30
https://doi.org/10.1007/978-3-030-53258-1were examined, namely genetic algorithms, differential evolution and genetic programming. Following two examples of how EAs can be applied for financial prediction purposes, we outlined some of the more recent developments in EC. Our presentation of evolutionary computation continues in Chap. 4 with
宿醉
发表于 2025-3-23 23:07:58
Michelle D. Brock,David R. Wintertion are observed and copied by other members of the population. Of course, these learning mechanisms abound in business and other social settings. Good business strategies, good product designs, and good theories stimulate imitation and subsequent adaptation. Particle swarm algorithms have proven t
CHOKE
发表于 2025-3-24 04:14:28
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Gossamer
发表于 2025-3-24 08:32:18
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浸软
发表于 2025-3-24 11:22:00
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暗语
发表于 2025-3-24 16:28:47
Anthony Brabazon,Michael O’NeillApplies biologically inspired algorithms (BIAs) to financial modeling.Shows how financial modeling benefits from techniques developed for biological studies: neural networks, evolutionary computing, p
小口啜饮
发表于 2025-3-24 19:57:58
Natural Computing Serieshttp://image.papertrans.cn/b/image/187507.jpg
confide
发表于 2025-3-25 02:59:59
1619-7127 ological 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