stochastic models oor Sjinees
stochastic models
Vertalings in die woordeboek Engels - Sjinees
随机模型
Resampling of the regional well yield and electrical conductivity estimates provides sufficient resolution to construct variograms for stochastic modeling of the hydrogeologic variables.
对区域水井涌水量和电导率评估的重采样为建立水文地质变量随机模型的变异函数提供了足够的分辨率。
数学模型
蛛网模型
随机设计
Geskatte vertalings
Vertoon algoritmies gegenereerde vertalings
voorbeelde
Advanced filtering
Voorbeelde moet herlaai word.
Among the many new tools in use were Bayesian networks, hidden Markov models, information theory, stochastic modeling and classical optimization.
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In the literature, there are two types of MPCs for stochastic systems; Robust model predictive control and Stochastic Model Predictive Control (SMPC).
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Resampling of the regional well yield and electrical conductivity estimates provides sufficient resolution to construct variograms for stochastic modeling of the hydrogeologic variables.
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Robust estimates of the impact of climate change on groundwater resources require stochastic modelling of potential recharge, but this has implications for groundwater model runtimes.
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Conversely, in a stochastic model—usually called a "statistical model"—randomness is present, and variable states are not described by unique values, but rather by probability distributions.
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A second-order stochastic model describing a large scale crowd is formulated, and an efficient evacuation strategy for agents in complex surroundings is proposed and solved numerically.
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Since neither of these kinds of analysis are purely deterministic processes, stochastic models are often used to determine frequency and severity distributions and the parameters of these distributions.
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It is a stochastic asset model.
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We intend to apply approximate Bayesian inference (ABC) to (possibly spatially heterogeneous) Susceptible-Exposed- Infectious-Removed (SEIR) stochastic epidemic models.
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It is recommended that stochastic modelling of potential recharge is used in vulnerable or sensitive groundwater systems, and that the multiple recharge time series are sampled according to the distribution of contextually important time series variables, e.g. recharge drought severity and persistence (for water resource management) or high recharge years (for groundwater flooding).
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There are stochastic and deterministic models of different levels of complexity
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Few studies have attempted to solve stochastic coastal-aquifer management problems considering model prediction uncertainty.
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The prices of stocks and other traded financial assets can be modeled by stochastic processes such as Brownian motion or, more often, geometric Brownian motion (see Black–Scholes).
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In order to evaluate the value of different types of data, a simplified stochastic-numerical groundwater flow model was developed to examine the sensitivity of results to model parameters.
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Several K models, as determined by several stochastic realisations of MPS dyke locations, are computed within groundwater flow models and evaluated by comparing modelled heads with field observations.
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In the 21st century, the profession, both in practice and in the educational syllabi of many actuarial organizations, combines tables, loss models, stochastic methods, and financial theory (Feldblum 2001, pp. 8–9), but is still not completely aligned with modern financial economics (Bader & Gold 2003).
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In the late 1980s and early 1990s, there was a distinct effort for actuaries to combine financial theory and stochastic methods into their established models (D'Arcy 1989).
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In this paper, the fundamental tradeoff between energy efficiency and area spectral efficiency of WBSNs is first investigated under the Poisson point process (PPP) model and Matern hard-core point process (HCPP) model using stochastic geometry.
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Stochastic methods based on time-series modeling combined with geostatistics can be useful tools to describe the variability of water-table levels in time and space and to account for uncertainty.
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Model-based methods such as stochastic search require a known type of load and relatively long computational time, which limits the practical use of AS in civil engineering.
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His research interests include logistics and supply chain management, risk analysis, stochastic models, and port operations and economics.
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Kingman discussed deterministic models and stochastic models relating to genetic evolution.
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The model assumes an initial distribution of its stochastic component, which is modified later on the basis of information on past fertility trends.
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A fully integrated hydrologic model is used to conduct two sets of stochastic, transient simulation experiments comprising different overland flow mechanisms: Dunne and Hortonian.
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An integration of stochastic methods is presented, based on time-series modeling and geostatistics as a framework to predict water levels for decision making in groundwater management and land-use planning.
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45 sinne gevind in 9 ms. Hulle kom uit baie bronne en word nie nagegaan nie.