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Titlebook: Computational Science - ICCS 2007; 7th International Co Yong Shi,Geert Dick Albada,Peter M. A. Sloot Conference proceedings 2007 Springer-V

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31#
發(fā)表于 2025-3-26 21:15:35 | 只看該作者
32#
發(fā)表于 2025-3-27 04:54:12 | 只看該作者
https://doi.org/10.1007/978-3-319-73503-0nectivity) to 1 (for full connectivity). We define extended clustering coefficients .(.) of a small-world network based on nodes that are at distance h from a source node, thus generalizing distance-1 neighborhoods employed in computing the ordinary clustering coefficient .?=?.(1). Based on known re
33#
發(fā)表于 2025-3-27 06:24:02 | 只看該作者
https://doi.org/10.1007/978-3-319-73503-0odel for contemporary inter-working terrorists where large hub persons do not exist. Absense of large hub persons results in that the observed communication flow is also homogeneous. Clues regarding invisible relevant persons are hardly found in communication records. This task is, therefore, genera
34#
發(fā)表于 2025-3-27 09:28:54 | 只看該作者
35#
發(fā)表于 2025-3-27 15:09:38 | 只看該作者
Roberto Biloslavo,David Edgar,Carlo Bagnolihis framework, individual agent can interact with its neighboring agents, and word-of-mouth communication is employed during interaction. We introduce a simple and natural strategy-select rule, called behavior update rule (BUR). The BUR uses an accumulative influence force (CIF) with considering the
36#
發(fā)表于 2025-3-27 21:29:46 | 只看該作者
37#
發(fā)表于 2025-3-28 00:15:26 | 只看該作者
https://doi.org/10.1007/978-3-658-29389-5na’s foreign trade extremely difficult. To analyze the relationship between economic variables and foreign trade, this study proposes a novel nonlinear ensemble learning methodology hybridizing nonlinear econometric model and artificial neural networks (ANN) for Chinese foreign trade prediction. In
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發(fā)表于 2025-3-28 04:22:47 | 只看該作者
39#
發(fā)表于 2025-3-28 09:31:36 | 只看該作者
40#
發(fā)表于 2025-3-28 12:09:07 | 只看該作者
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