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发表于 2025-3-28 15:28:26
Hierarchical Competitive Net Architecture,id flow and heat transfer equations in explicit form to train a neural net to solve the associated inverse dynamics problem. We developed an improved competitive net architecture. Finally, we successfully implemented a hierarchical neural network scheme to link multiple heat exchanger panels together. This method is direct, fast, and accurate.
纪念
发表于 2025-3-28 22:20:15
A New Approach to Identify Influential Spreaders in Complex Networksed-Recovered (SIR) model is used to evaluate the performance of KSC model. The experiment result shows that our method is better to identify the most influential nodes. This paper comes up with a new idea and method for the study in this field.
CULP
发表于 2025-3-29 00:11:32
,Testsysteme und Plättchenfunktion,rystallites and contain very little organic matrix. These properties make dental enamel an excellent material for cutting and masticating food (i.e., processes that involve friction and wear). In contrast, dentin is not as hard as enamel, but it is tougher. Dentin is a heterogeneous material and can
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发表于 2025-3-29 05:35:22
Carsten Klingemann be extremely valuable in understanding non-linear and evolving complex systems. Given its scope, the book will capture the interest of graduate students and researchers from various disciplines (e.g. economics, computer science, physics, and applied mathematics) whose work involves the domain of co
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发表于 2025-3-29 08:25:50
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Irremediable
发表于 2025-3-29 13:06:28
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来就得意
发表于 2025-3-29 15:40:22
David Gregg,James Power,John Waldrono dementia. Parallel age differences in conditioning in the short-delay procedure appear in middle age in rabbits and humans that may be caused at least in part by loss of cerebellar Purkinje cells. It is only when the CS-US interval is extended to 1500 ms that the age differences in delay eyeblink
轻浮思想
发表于 2025-3-29 20:38:41
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我正派
发表于 2025-3-30 01:16:06
Centrality Indicesty index was suitable to every application, so with time, dozens of new centrality indices were published. This chapter will present some of the more influential, ‘classic’ centrality indices. We do not strive for completeness, but hope to give a catalog of basic centrality indices with some of their main applications.