In this paper, using unified probabilistic finite automata model as frame, an unified model system for the reliability analysis and prediction of stochastic DEDS is established by a smart combination of artificial neural network with global branch-and-bound algorithm, and a comprehensive demonstration is made on the feasibility and validity of the model.