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Forecasting time series accurately is critical to ensure the safety and reliability of complex system. So, time series prediction has been a popular subject. Normally, the information used in time series prediction is always mined from multi-variable time series and small simple data. Thus, based on grey prediction theory, an adaptive prediction model with multi-variable small simple time series data...
Withurbanization and environmental changes, water resources safety such as flood risk and drought have been facedwith more challenges than ever before. Integrated assessment and modeling methods provided an effective resolution approach for this problem. However, different geographic data sources and modeling methods have produced barriers for sharing, integration, and communication in integrated...
Since one single node in a wireless sensor network (WSN) is quite power-limited, many of existing researches focus on abating the redundancy of transmission to achieve the goal of energy saving. However, they are mostly highly dependent on physical networks and routing, which will result in the excessive rawness of data, the great imbalance of energy consumption among nodes and the poor scalability...
Sobol algorithm is one of the most representative global sensitivity analysis methods. Parameters sensitivity analysis is a necessary step for crop model localization and regionalization. We used Sobol algorithm to analyze the parameters sensitivity of ALMANAC model, including crop parameters, soil parameters, meteorological parameters and field operating parameters. The result of the study showed...
The paper presents a novel Multi-Resolution Model (MRM) of Logistics Location based on the theory of MultiResolution Modeling. Using MRM simulation thoughts, it points out the necessity of MRM of Logistics Location by analyzing the key technology of MRM. The paper develops a Decision Support System (DSS) with Model-View-Controller (MVC) pattern and spatial database based on Cost-Revenue model (C-R)...
In order to alleviate user fatigue of interactive genetic algorithms with an individual's fuzzy and stochastic fitness, we propose a surrogate model-assisted algorithm by using a directed fuzzy graph to extract user cognition. According to cut-set level and interval dominance probability, we present approaches to construct a directed fuzzy graph of an evolutionary population and calculate an individual's...
User behavior models are important for building realistic simulation environment for research on P2P multimedia file-sharing systems. In this paper, we build a user download behavior model and a user removal behavior model, which can describe important user characteristics that are not captured in the existing models. The proposed download behavior model incorporates retry behavior, and the removal...
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