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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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樓主: Causalgia
11#
發(fā)表于 2025-3-23 10:55:49 | 只看該作者
The Study of Size Distribution and Spatial Distribution of Urban Systems in Guangdong, China, to avoid the defect of data, the paper uses both the population and built-up district area data of above county level cities in Guangdong Province in 2002 and 2004. The results prove that urban size of the urban system in the province follows rank-size distribution. In analyzing the value and the c
12#
發(fā)表于 2025-3-23 17:18:28 | 只看該作者
Emergence of Social Rumor: Modeling, Analysis, and Simulations,his 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
13#
發(fā)表于 2025-3-23 21:11:20 | 只看該作者
14#
發(fā)表于 2025-3-23 23:43:32 | 只看該作者
A Hybrid Econometric-AI Ensemble Learning Model for Chinese Foreign Trade Prediction,na’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
15#
發(fā)表于 2025-3-24 02:58:54 | 只看該作者
The Origin of Volatility Cascade of the Financial Market,cascade-like ideas, this model provides a realistic (agent based) description of financial markets and reproduces the same multifractal scaling properties of price changes as the real, which indicate that the self-organized dynamical evolutionary of the investors structure may be the origin of the v
16#
發(fā)表于 2025-3-24 09:11:43 | 只看該作者
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發(fā)表于 2025-3-24 11:44:34 | 只看該作者
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發(fā)表于 2025-3-24 17:30:04 | 只看該作者
19#
發(fā)表于 2025-3-24 21:25:49 | 只看該作者
Modeling, Learning and Simulating Biological Cells with Entity Grammar,These approaches are potentially very efficient for simulating and analyzing physiological function of cells. In this work, entity grammar system is proposed as formalism for knowledge representation and multistratgy learning techniques in systems biology. Modeling biological cells with entity gramm
20#
發(fā)表于 2025-3-25 01:01:54 | 只看該作者
Computational Science - ICCS 2007978-3-540-72590-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
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