Based on expansion radial basis function network

one kind of new dynamic fuzzy neural network algorithm was proposed. The algorithms main feature is to maintain the fixed length of data by using glide window technology and avoid the data being saturated. The Pruning technology was used to make the network architecture unsustained growth

and avoid the fitting and the training phenomenon

thus

it has guaranteed systems panability. Finally

the approach ability of the dynamic fuzzy neural network was confirmed through the control of blood pressure. The simulation results show that the use of sliding window and pruning techniques DFNN controller has good performance.