Fault Detection of Remote Multimedia in Wireless Network Based on Fuzzy Neural Network

With the development of computer technology, the architecture of computer system has been evolved into a highly complex nonlinear system structure. According to the theory of artificial intelligence, computer system can quickly reflect the basic features of the function in human beings’ brain by simulation. Based on the control principles of fuzzy neural network algorithm, the principle of slot grouping of the fault detection data stream of multimedia remote wireless network is combined with that of the principle of frequency grouping to build the fault detection model. Based on the common fault types of the current wireless network, the results of the applied model are significantly. Furthermore, fuzzy simulation model is constructed, which can accurately monitors the fault of current network through the fuzzy simulation. According to the simulation curve, it can accurately determines the type and degree of the fault. Then the stability of the output results is close to the normal state with a strong practicality.