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Updated: Jun 9, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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Published on: July 24, 2016

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处理软变量和数据稀缺:从参与式系统动态建模过程中的量化中学到的经验教训

Irene Pluchinotta1, Ke Zhou1, Nici Zimmermann1

  • 1Institute for Environmental Design and Engineering, The Bartlett Faculty of The Built Environment, University College London, London, UK.

System dynamics review
|October 23, 2024
PubMed
概括

系统动态 (SD) 模型有助于与复杂的,无形因素的决策. 本研究解决了参与式SD过程中量化软变量和数据稀缺性的挑战.

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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