graphic network model

基本解釋

In order to convert GIS based feeder maps into one-line diagrams, the distribution network model based on graphic theory is improved.
在對饋電線路分級的基礎上，研究了配電饋線地理圖到電氣接線圖的轉換方法。
Bayesian Belief Network(BBN)is a graphic model that encodes joint probability distribution among uncertain variables, it express a potential dependent relationship between variables.
貝葉斯網是用來表示不確定變量集合聯(lián)合概率分布的圖形模式，它反映了變量間潛在的依賴關系。
The knowledge inference method of the general network modeling with graphic interface is introduced, in which the system model is gradually inferred from the visual system connection diagram.
提出了一種符合圖形界面下建立通用電網模型的知識推理方法。