关键词: 以太无源光网络, 神经网络, 轮巡, 优化

Abstract:

The mechanism forecasts the traffic for many cycles through the prediction function of interpolating polynomial produced by the reports of many key cycles, and grants many cycles at a time. Not only can it save bandwidth, but also reduce the data packet delay. A knowledge support system（KSS）is set up. The key cycle number and predictive cycle number is optimized by the differential coefficient (DC）optimizing method, the adaptive factors of the non-lineal prediction function are optimized by the neural network. Simulation verifies its merits very well.

Key words: ethernet passive optical network, neural network, polling, optimize