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Titlebook: Feedforward Neural Network Methodology; Terrence L. Fine Textbook 1999 Springer Science+Business Media New York 1999 Time series.algorithm

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樓主: GALL
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發(fā)表于 2025-3-23 13:28:53 | 只看該作者
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發(fā)表于 2025-3-23 14:03:43 | 只看該作者
https://doi.org/10.1057/9781137291646education; English; French; German; higher education; Immersion; intercultural learning; language; Language
13#
發(fā)表于 2025-3-23 19:15:23 | 只看該作者
https://doi.org/10.1007/978-3-031-08439-3classes of random systems: Anderson localized, infinite randomness criticality, and many-body localization (MBL). We review previous works and also present new results for the entanglement entropy of random spin chains at low and high energy.
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發(fā)表于 2025-3-24 01:29:30 | 只看該作者
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發(fā)表于 2025-3-24 06:22:10 | 只看該作者
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發(fā)表于 2025-3-24 07:37:23 | 只看該作者
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發(fā)表于 2025-3-24 10:52:52 | 只看該作者
S. Imtiaz Hasnain,Farooq Ahmad Mirensive and fluid learning tool.Expanding upon the previous bThis updated edition offers an indispensable exposition on real-time computing, with particular emphasis on predictable scheduling algorithms. It introduces the fundamental concepts of real-time computing, demonstrates the most significant
18#
發(fā)表于 2025-3-24 17:37:19 | 只看該作者
Wieland Fricke,Thorsten Knipfer for measuring IMT in Carotid Ultrasound.Imaging AtherosclerAtherosclerosis is a degenerative process affecting blood vessels, which determines narrowing of the lumen, plaque growth, and hardening of the walls. It is a risk factor for cardiovascular diseases.The focus of this book is on the manageme
19#
發(fā)表于 2025-3-24 23:01:41 | 只看該作者
David Andersonhicle for teaching grammar. This is because texts provide meaningful and appropriate contexts of authentic language use. To elaborate on the concept of text, the systemic functional grammar tradition is adopted to present a perspective that teaching grammar does not always mean teaching the forms bu
20#
發(fā)表于 2025-3-25 02:30:46 | 只看該作者
ngsbeispiele aus der Bioinformatik und benachbarter Gebiete..Der Begriff "Soft Computing" bezeichnet ein zunehmend an Bedeutung gewinnendes Thema. Dahinter verbergen sich Methoden wie Neuronale Netze, Fuzzy-Logik, Maschinelles Lernen, evolution?re Algorithmen und naturanaloge Algorithmen. Das Gemein
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