The invention provides an intelligent study system and a computational study method for hot rolled strip width control models. The computational study method includes determining the correctness of rough rolling outlet width absolute self-study according to intelligent analysis to feedback values of a rough rolling outlet width gauge and actual execution conditions of vertical roll gaps, and correcting according to situations; and determining correctness of finish rolling outlet width absolute self-study according to intelligent judgment for feedback values of the rough rolling outlet width gauge and feedback values of a finish rolling outlet width gauge. Accordingly, requirements of field environments and process systems during hot rolling production on mathematical models can be met, error of trend of self study is avoided effectively, abnormal fluctuation of width precision during production is decreased, strip blocking rate caused by poor parameters of width models is reduced, and strip width precision is increased, and further, workload in operation for regulating the model parameters manually is lowered, and potential hazards caused by uncertainty in manual regulation are reduced greatly.