Abstract:Several new methods for intelligent feedback analysis of rockmass models and their parameters are summarized. There include intelligent back analysis methods of mechanical parameters of rockmass,coupling recognition of the structure of the model and parameters,intelligent back analysis of variability of rock mass parameters in time and space,intelligent parallel finite element method with dynamical renew of the model and its parameters and integrated intelligent analysis of rock engineering safety with dynamical recognition of rock model and parameters. Among them,intelligent back analysis methods of mechanical parameters of rockmass include four kinds of methods such as uniform design(or ortho-design)-numerical method,practice swarm(or genetic algorithm) numerical method,uniform design(or ortho-design)-evolutionary neural network-numerical method- practice swarm(or genetic algorithm) and uniform design(or ortho-design)-evolutionary support machine- parallel numerical method-practice swarm(or genetic algorithm) method. Several key problems to obtain global optimum solutions for the back analysis of rock model and parameters are also discussed. Finally case studies have been given to show applicability of the new methods.