To generate the parameters of the structure varied discrete dynamic Bayesian network adaptively

Structure varied discrete dynamic Bayesian network and its inference algorithm can model the sudden change system, but the change occurred unexpected, when the structure of the discrete dynamic Bayesian networkvaried, the parameters of the discrete dynamic Bayesian network will change consequently. Aimed on this problem, according to the principle of Bayesian network, defined the concepts of relation nodes and prefer status, proposed a self-adaptive algorithm to generate the discrete dynamic Bayesian network parameters when its structure changes, and tested the self-adaptive algorithm with a problem of path selection for the flying vehicle when the threaten appeared suddenly using. The test confirmed the validity of the self-adaptive algorithm to generate the discrete dynamic Bayesian network parameters when its structure changes and implied. the self-adaptive algorithm parameter generating is hopeful to generate the parameters of the discrete dynamic Bayesian network effectively.