Learning in the recurrent random neural network
Neural Computation
Design and performance of cognitive packet networks
Performance Evaluation
Design and evaluation of adaptive routing in cognitive packet networks
Design and evaluation of adaptive routing in cognitive packet networks
A survey of active network research
IEEE Communications Magazine
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As the Internet expands significantly in number of users, servers, routers and other networking products, the IP based network architecture must evolve and change. There are already proposed alternative packet-switched network models that would eliminate some of the problems of IP based networks. Recently proposed Cognitive Packet Networks (CPN) is one of them and it shows similarity with the discrete active networks. CPN uses a neural network model with a reinforcement learning algorithm to find routes. In this paper, we present a packet processor architecture which supports this fast adaptive routing algorithm.