SSA：随机模拟算法
“随机模拟算法”（Stochastic Simulation Algorithm，简称SSA）是一种在多个综合领域中广泛应用的重要计算方法。为便于书写和日常使用，常被缩写为SSA。这一算法主要用于处理含有随机性的系统模拟问题，适用于生物学、化学、工程学等跨学科研究，帮助研究者通过概率模型对复杂动态过程进行数值仿真。
Stochastic Simulation Algorithm具体释义
Stochastic Simulation Algorithm的英文发音
例句
- Experiments indicate that stochasticity and spatial heterogeneity are important characteristics of chemical reaction systems, which have an important impact on the dynamics of the systems. Recent studies on these systems are based on the ISSA ( Inhomogeneous stochastic simulation algorithm ).
- 大量研究表明，随机性和空间异构性是化学反应系统的重要特征，对系统的动力学行为有重要影响，目前大都基于异构随机仿真算法ISSA（InhomogeneousStochasticSimulationAlgorithm）对其进行研究。
- However, the stochastic simulation algorithm is computing-intensive, and a sequential implementation of the stochastic simulation is extremely time-consuming.
- 然而，由于随机仿真算法所需的计算量很大，串行离散事件随机仿真非常耗时。
- Stochastic simulation based genetic algorithm for solving portfolio problem with probability criterion
- 基于遗传算法的概率准则组合证券模拟求解
- Based on the modified house of quality, the chance-constrained programming model is developed to determine the optimal striving targets by stochastic simulation and genetic algorithm, and the 0-1 integer programming model is derived for the decision-making of reengineering objectives.
- 基于改进的质量屋建立了机会约束规划模型，通过随机模拟和遗传算法确定最佳奋斗目标；建立了0-1整数规划模型，用于经营过程重构目标的决策。
- Variation function is the basic geostatistics tools. Kerrey interpolation and stochastic simulation of the algorithm based on image element most need the variogram function.
- 变差函数是地质统计学的基本工具，克里金插值和随机模拟中基于象元的算法大部分都需要用到变差函数。
本站英语缩略词为个人收集整理，可供非商业用途的复制、使用及分享，但严禁任何形式的采集或批量盗用
若SSA词条信息存在错误、不当之处或涉及侵权，请及时联系我们处理：675289112@qq.com。