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標(biāo)題: Titlebook: Biologically Inspired Algorithms for Financial Modelling; Anthony Brabazon,Michael O’Neill Book 2006 Springer-Verlag Berlin Heidelberg 200 [打印本頁]

作者: Hayes    時(shí)間: 2025-3-21 18:17
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作者: 和諧    時(shí)間: 2025-3-21 23:05
The Particle Swarm Modeltion 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
作者: fallible    時(shí)間: 2025-3-22 01:32

作者: 粗俗人    時(shí)間: 2025-3-22 06:09

作者: UTTER    時(shí)間: 2025-3-22 08:57
Model Development Processystem. No algorithm can compensate for poor-quality data or a poor trading system design. Earlier in the chapter, one of the major sources of information for short-term trading systems (technical indicators) was introduced. The next chapter discusses these in more detail.
作者: 我的巨大    時(shí)間: 2025-3-22 14:36
Ant Colony Modelsinsect societies. A key feature of these societies is their ability to promote problem-solving behaviour between individuals in the absence of a top-down control system. The algorithms can be used for both classification and optimisation purposes.
作者: corpus-callosum    時(shí)間: 2025-3-22 20:26
Model Development Processystem. No algorithm can compensate for poor-quality data or a poor trading system design. Earlier in the chapter, one of the major sources of information for short-term trading systems (technical indicators) was introduced. The next chapter discusses these in more detail.
作者: 含水層    時(shí)間: 2025-3-22 23:15
Biologically Inspired Algorithms for Financial Modelling978-3-540-31307-6Series ISSN 1619-7127 Series E-ISSN 2627-6461
作者: SMART    時(shí)間: 2025-3-23 04:30
Edward Terry and the Demons of Indiainsect societies. A key feature of these societies is their ability to promote problem-solving behaviour between individuals in the absence of a top-down control system. The algorithms can be used for both classification and optimisation purposes.
作者: kindred    時(shí)間: 2025-3-23 06:35
Edward Terry and the Demons of Indiaystem. No algorithm can compensate for poor-quality data or a poor trading system design. Earlier in the chapter, one of the major sources of information for short-term trading systems (technical indicators) was introduced. The next chapter discusses these in more detail.
作者: Nibble    時(shí)間: 2025-3-23 09:52

作者: aquatic    時(shí)間: 2025-3-23 17:22
978-3-642-06573-6Springer-Verlag Berlin Heidelberg 2006
作者: 易改變    時(shí)間: 2025-3-23 21:33
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
作者: 宿醉    時(shí)間: 2025-3-23 23:07
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
作者: CHOKE    時(shí)間: 2025-3-24 04:14

作者: Gossamer    時(shí)間: 2025-3-24 08:32

作者: 浸軟    時(shí)間: 2025-3-24 11:22

作者: 暗語    時(shí)間: 2025-3-24 16:28
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
作者: 小口啜飲    時(shí)間: 2025-3-24 19:57
Natural Computing Serieshttp://image.papertrans.cn/b/image/187507.jpg
作者: confide    時(shí)間: 2025-3-25 02:59
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
作者: Rejuvenate    時(shí)間: 2025-3-25 06:15
https://doi.org/10.1007/978-3-030-53258-1al prediction purposes, we outlined some of the more recent developments in EC. Our presentation of evolutionary computation continues in Chap. 4 with an introduction to the grammatical evolution framework.
作者: 過于平凡    時(shí)間: 2025-3-25 09:34
Michelle D. Brock,David R. Winterod business strategies, good product designs, and good theories stimulate imitation and subsequent adaptation. Particle swarm algorithms have proven to be successful optimisation tools in a variety of applications, and they have clear potential for application to financial modelling.
作者: adulterant    時(shí)間: 2025-3-25 13:39

作者: DAFT    時(shí)間: 2025-3-25 19:14

作者: 主講人    時(shí)間: 2025-3-25 23:55

作者: LUCY    時(shí)間: 2025-3-26 02:58
Artificial Immune Systemsition and optimisation algorithms. In this chapter we have discussed how two of these metaphors, the negative selection process for T cells, and the clonal selection and expansion of B cells, can be applied to create a classification system and an optimisation algorithm, respectively.
作者: Condescending    時(shí)間: 2025-3-26 07:38

作者: Ige326    時(shí)間: 2025-3-26 12:01

作者: 缺乏    時(shí)間: 2025-3-26 16:40
Automatic Generation of Foreign Exchange Trading Rules
作者: 憤慨點(diǎn)吧    時(shí)間: 2025-3-26 20:38
Biologically Inspired Algorithms for Financial Modelling
作者: Accomplish    時(shí)間: 2025-3-26 22:40
1619-7127 ction of corporate bond ratings and corporate failures...The book was written for those in the finance community who want to apply BIAs in financial modelling, and for computer scientists who want an introduction to this growing application domain..978-3-642-06573-6978-3-540-31307-6Series ISSN 1619-7127 Series E-ISSN 2627-6461
作者: lacrimal-gland    時(shí)間: 2025-3-27 02:16
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作者: 神化怪物    時(shí)間: 2025-3-28 00:53
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