Process / pipelineSimulation / optimization
随机系统动力学 — 概率性存量-流量模拟
Stochastic System Dynamics (SSD) 通过用概率分布和随机抽样取代固定参数值和确定性流方程，扩展了传统的系统动力学。对存量-流量模型进行多次重复运行，可以产生概率性轨迹——置信区间而非单条曲线——从而能够对具有复杂反馈系统的（如流行病模型、供应链和能源政策情景）进行严格的不确定性量化和风险分析。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
+1 more
来源
- Sterman, J.D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. Irwin McGraw-Hill. ISBN: 978-0072389159
- Rahmandad, H., Sterman, J.D. (2008). Heterogeneity and network structure in the dynamics of diffusion: Comparing agent-based and differential equation models. Management Science, 54(5), 998-1014. DOI: 10.1287/mnsc.1070.0787 ↗
如何引用本页
ScholarGate. (2026, June 3). Stochastic System Dynamics (SSD). ScholarGate. https://scholargate.app/zh/simulation/stochastic-system-dynamics
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
Compare side by side →