semiskilled 发表于 2025-3-23 09:56:54

Uncertainty and Modeling Principles,emological, and random perspectives. Model validation and efficiency measures are given in terms of a set of error formulations, and it is recommended that the percentage error remain within the limits of ±5% and a maximum of ±10%. The pitfalls in the classical regression analysis application are gi

无关紧要 发表于 2025-3-23 15:37:26

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有恶臭 发表于 2025-3-23 19:23:58

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GROUP 发表于 2025-3-23 23:22:06

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高度表 发表于 2025-3-24 04:18:19

Machine Learning,y their ease in finding the best (least error) mathematical or AI models. Unsupervised, supervised, and reinforced learning alternatives are explained comparatively. Both bivalent logic k-means and fuzzy logic c-means classification methodologies are explained with their philosophical, logical, and

forestry 发表于 2025-3-24 07:06:46

reactions that may occur within it. The book explains the reasons and necessity of each ANN model, considering the similarity to the previous methods and the philosophical - logical rules..978-3-031-29557-7978-3-031-29555-3

amenity 发表于 2025-3-24 14:15:12

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温和女孩 发表于 2025-3-24 16:53:25

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保守 发表于 2025-3-24 20:39:27

Zekâi Şenomoseninsuffizienzen, Organfunktionsstörungen und weiteren Problemen..Die präoperative kardiologische und anästhesiologische Prävention werden ebenso in eigenen Kapiteln dargestellt wie die intensivmedizinischen Möglichkeiten bei postoperativen Komplikationen..978-3-662-43475-8

Guileless 发表于 2025-3-24 23:20:43

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查看完整版本: Titlebook: Shallow and Deep Learning Principles; Scientific, Philosop Zekâi Şen Book 2023 The Editor(s) (if applicable) and The Author(s), under exclu