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Showing 1 to 8 of 8 for “"Computer experiment"”.
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Efficient computer experiment designs for Gaussian process surrogates
… algorithms for finite element analysis, today's computer simulation models often contain complex calculations that can result in a wealth of knowledge. Gaussian processes (GPs) are highly desirable models for computer experiments for their predictive accuracy and uncertainty quantification. This …
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A sequential adaptive sampling technique based on a local linear model for computer experiment applications
… of expensive responses — obtained either from computer simulations or real experiments — via less computationally expensive mathematical models. The use of SMs is especially valuable during the preliminary design phase when engineers need fast and accurate tools to assess the performance of …
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Adapting Response Surface Methods for the Optimization of Black-Box Systems
… partial differential equations. As a result, the computer codes may take a considerable amount of time to complete a single evaluation. A time tested method of analysis for such models is Monte Carlo simulation. These simulations, however, often require many model evaluations, making this approach …
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Towards short-term forecasting of ventricular tachyarrhythmias
… Ventricular Tachyarrhythmic (VTA) event. A computer experiment is performed where a supervised learning algorithm models the ECG signals with the targeted behavior, applies the models on other signals, and analyzes consistencies in the results. The procedure was successful in discovering …
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Some practical issues in the design and analysis of computer experiments
Deterministic computer simulations of physical experiments are now common techniques in science and engineering. Often, physical experiments are too time consuming, expensive or impossible to conduct. Complex computer models or codes, rather than physical experiments lead to the study of computer …
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Sequential learning, large-scale calibration, and uncertainty quantification
With remarkable advances in computing power, computer experiments continue to expand the boundaries and drive down the cost of various scientific discoveries. New challenges keep arising from designing, analyzing, modeling, calibrating, optimizing, and predicting in computer experiments. This …
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Computer Experimental Design for Gaussian Process Surrogates
With a rapid development of computing power, computer experiments have gained popularity in various scientific fields, like cosmology, ecology and engineering. However, some computer experiments for complex processes are still computationally demanding. A surrogate model or emulator, is often …
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Modelling of Dynamic Computer Experiments with Both Qualitative and Quantitative Variables
Computer experiments are utilized as a popular tool of studying the relationship between responses and the factors that affect them. They are widely used in scientific researches and applications. Dynamic computer experiments refer to computer experiments with time-series responses. Different …