A Visual Dynamic Bayesian Network Model Oriented Most Economical Service-Flows
Xuyan Tu · Dianzi xuebao · 2011
Most economical service-oriented flows calculation mechanism is introduced during structure learning for dynamic Bayesian networks and a coordination decomposing model for service flows oriented dynamic bayesian network(SFO-DBNs) is presented.In this model,a complex flow-calculation for large system may be dynamically decomposed into several sub-service flows that can be respectively modeling,which extends algorithm Ford-Fulkerson to multi-sources and multi-sinks and joins the time slice t factors on the service flow stability constraint.Simulating for digital gas fields pipe-net emergent scheduling plan and pick-convey balance analysis illustrate that the method of SFO-DBNs is effective and efficient.