Discusses the application of neural networks to routing in telecommunications networks under normal and abnormal conditions. Concepts related to optimal routing are discussed from the theoretical and telecommunications networks perspective to define a translation to the neural network paradigm. A sample network is then used to determine optimal neural network parameters, which are then tested to determine routing accuracy and performance under normal and abnormal routing conditions. Following the analysis of the results, conclusions and recommendations on the results are provided.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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