Reasarch of Architecture based BP Neural Network in Modeling of Sheave Buffer

Abstract

In order to solve the problem of non-linear modeling of hydraulic system, a modeling method based on BP neural network is put forward. The complex hydraulic system, according to the structure and relationship of hydraulic system, is divided into simpler subsystems, a complete network is established and performance of network is analysis with the interaction between hydraulic system , a hydraulic buffer system modeling method in MK7-3 slide wheel buffer modeling is discussed, in the application of neural network of the. The results show that the simulation of MK7 type pulley buffer based on BP neural network is accurate.