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http://dbpedia.org/resource/Concurrent_estimation
http://dbpedia.org/ontology/abstract 同時估計法(Concurrent estimation)是离散事件仿真中使用的技術,用來估計離散事件動態系統下,不同參數設定的效果。例如觀察電腦模擬的通訊系統,其緩衝區大小為,同時也會估測若緩衝區大小為等其他數值下的效能。此方法可以有效的在一次模擬測試產生組不同的系統狀態變數歷史,其中在主模擬時,各個條件出現的機率相同。因此相較於針對n組參數,進行次模擬,同時估計法在運算量上會比較節省。 此技巧是由Cassandras,、Strickland及Panayiotou所開發。 , In discrete event simulation concurrent esIn discrete event simulation concurrent estimation is a technique used to estimate the effect of alternate parameter settings on a discrete event system. For example from observation of a (computer simulated) telecommunications system with a specified buffer size , one estimates what the performance would be if the buffer size had been set to the alternate values . Effectively the technique generates (during a single simulation run) alternative histories for the system state variables, which have the same probability of occurring as the main simulated state path; this results in a computational saving as compared to running additional simulations, one for each alternative parameter value. The technique was developed by Cassandras, Strickland and Panayiotou. by Cassandras, Strickland and Panayiotou.
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rdfs:comment In discrete event simulation concurrent esIn discrete event simulation concurrent estimation is a technique used to estimate the effect of alternate parameter settings on a discrete event system. For example from observation of a (computer simulated) telecommunications system with a specified buffer size , one estimates what the performance would be if the buffer size had been set to the alternate values . Effectively the technique generates (during a single simulation run) alternative histories for the system state variables, which have the same probability of occurring as the main simulated state path; this results in a computational saving as compared to running additional simulations, one for each alternative parameter value. one for each alternative parameter value. , 同時估計法(Concurrent estimation)是离散事件仿真中使用的技術,用來估計離散事件動態系統下,不同參數設定的效果。例如觀察電腦模擬的通訊系統,其緩衝區大小為,同時也會估測若緩衝區大小為等其他數值下的效能。此方法可以有效的在一次模擬測試產生組不同的系統狀態變數歷史,其中在主模擬時,各個條件出現的機率相同。因此相較於針對n組參數,進行次模擬,同時估計法在運算量上會比較節省。 此技巧是由Cassandras,、Strickland及Panayiotou所開發。
rdfs:label 同時估計法 , Concurrent estimation
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