Intelligent modeling method for complex systems based on big data
The core of research on complex systems is to model them.However,their complexity has exceeded the ability of manual modeling.An intelligent modeling method that utilized the accumulated big data during the operation of complex systems was proposed.A framework modeling method for complex systems under uniform and non-uniform distribution was constructed by improving random graphs and incorporating pruning processes.A complex system metamodel modeling method was constructed by improving Gated Recurrent Unit(GRU)and bidirectional GRU.By integrating the big data of the equipment support system,designing modeling and evaluation indicators,and forming intelligent modeling tools for data governance,model generation,and model evaluation,the intelligent black box modeling of complex systems was achieved using the equipment support system as a typical complex system,and the model credibility verification results were provided.
NETL
NSTL
万方数据
