Random Neural Networks for the Adaptive Control of Packet Networks

  title={Random Neural Networks for the Adaptive Control of Packet Networks},
  author={Michael Gellman and Peixiang Liu},
The Random Neural Network (RNN) has been used in a wide variety of applications, including image compression, texture generation, pattern recognition, and so on. Our work focuses on the use of the RNN as a routing decision maker which uses Reinforcement Learning (RL) techniques to explore a search space (i.e. the set of all possible routes) to find the optimal route in terms of the Quality of Service metrics that are most important to the underlying traffic. We have termed this algorithm as the… CONTINUE READING
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