Intent-Driven Routing Algorithm Based on LSTM in Power Backbone Networks

LSTM-CRF model improves intent translation routing accuracy in power backbone networks.

Wu Lijie, Jingfeng Wang, Yan Liu, Chunying Wang, Huifang Liu, Ruijie Zhu

Published Jul 26, 2024Paper ↗

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Abstract

We propose a method combining Long Short-Term Memory Neural Network with Conditional Random Fields to achieve intention translation routing in power backbone networks. Simulation results show that it can improve the accuracy of the translation.