Abstract: Aiming at quality evaluation of IP network problem, this paper proposes an evaluation model of subjective and objective fusion by using Back Propagate(BP) neural network. The two neural networks of subjective and objective characteristic are self-adapting learned separately until the output is stable. The two BP neural networks are resonated mutually, and the subjective evalution and objective evalution are fused each other by the resonance learning of two networks. An accordant evaluation is obtained after the resonance study. Simulations of users subjective evaluation and many objective indexes of IP network are practiced, which indicate that the fusion model in this paper has stronger performance of noise resistance. The fusion model can better satisfy the composite requirements of IP network quality evaluation.
IP network quality,
Back Propagate(BP) neural network,
fusion of subjective and objective evaluation,