Human cognition mechanism modeling was an important research direction of artificial intelligence area.Current modeling methods based statistical modes or back propagation artificial neural network (BP-ANN) have the problems of clustering computation and knowledge understanding.Concerning the issue

a mechanism modeling method for cognition process was proposed based on simulated annealing artificial neural network (SA-ANN).The cognition physical process and its fundamental characteristics were analyzed

and a SA-ANN inference model oriented to cognition process was set up.An improved simulated annealing artificial neural network (ISA-ANN) processing algorithm was put forward

and the critical factors of information character extraction and knowledge clustering for cognition process were simulated.Numerical instances for human cognition were provided

and a prototype prototype software system was developed to verify the theoretical results.Experimental results prove that the proposed method is with better clustering performance

can correctly recognize the testing object selected

and can reveal the evolution regulars of psychological cognition process.