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標(biāo)題: Titlebook: Predictability of Chaotic Dynamics; A Finite-time Lyapun Juan C. Vallejo,Miguel A. F. Sanjuan Book 2019Latest edition Springer Nature Switz [打印本頁]

作者: mobility    時(shí)間: 2025-3-21 18:49
書目名稱Predictability of Chaotic Dynamics影響因子(影響力)




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書目名稱Predictability of Chaotic Dynamics網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Predictability of Chaotic Dynamics讀者反饋學(xué)科排名





作者: dry-eye    時(shí)間: 2025-3-21 23:29
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,Canada’s Social Security Programs and Payroll Taxes, this regard. Yet social programs must be paid for. The real issues are whether the benefits of the programs are worth the costs, and whether the cost of the programs—including any negative effects on employment—could be reduced by altering the means by which the programs are paid for or other program features.
作者: artless    時(shí)間: 2025-3-26 13:05
A Note on the Energy-Transport Limit of the Semiconductor Boltzmann Equation,ious derivations required a two-step procedure, resorting to an intermediate model, the so-called Spherical Harmonics Expansion (or SHE) model. We shall present and review the relationship between all these models.
作者: Archipelago    時(shí)間: 2025-3-26 18:05
https://doi.org/10.1007/978-3-030-03466-5shows a slight decrease during winter months and a slight increase during the summer. Exact values of annual rainfall and average annual temperature for the period under consideration could not be worked out, but in relation to the present day figures above, the early Neolithic period is estimated t
作者: 解決    時(shí)間: 2025-3-26 23:01
nd artificial intelligence. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers.978-3-031-39773-8978-3-031-39774-5Series ISSN 2367-3370 Series E-ISSN 2367-3389
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作者: miscreant    時(shí)間: 2025-3-27 08:09
Fuzzy and Grey Forecasting Techniques and Their Applications in Production Systems, to increase forecast efficiency and effectiveness. This chapter summarizes and classifies forecasting techniques based on crisp logic, fuzzy logic and the grey theory. The chapter also presents numerical examples of fuzzy simple linear regression and grey forecasting methodology.
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