The invention relates to a congestion control method based on wavelet nerve network, belonging to the field of computer communication network congestion control. The technique of the invention comprises the following steps: establishing a controller based on wavelet nerve network on a router; collecting the queue length in the router once every other sampling cycle, and on the basis calculating queue error and variation rate thereof; inputting the calculated queue error and variation rate thereof into the wavelet nerve network controller, calculating to obtain a data package mark probability, and on the basis carrying out data package mark operation; simultaneously carrying out update calculation on controller parameters in each sampling cycle to adapt to change of network environment. The invention has the advantages of simple structure, strong adaptability and good robustness, can effectively reduce data message loss rate, reduce queue delay and delay tremble, and guarantee good link utility rate at the same time.