Multidimensional Network Bidirectional Link Stability Prediction Based on Sequence Decision
In order to ensure the stable operation of bidirectional links in multi-dimensional networks,an algo-rithm for predicting the stability of bidirectional links in multi-dimensional networks was proposed.Based on the defi-nition of multi-dimensional network dimensions and analysis results of small-world network characteristics,the main features of multi-dimensional bidirectional networks were obtained.Moreover,a multi-dimensional network model was built by extracting the features.Furthermore,the sparse encoding network method was adopted to reduce the dimen-sionality of the model.After that,the similarity between nodes in the reduced-dimensional bidirectional link was cal-culated by the structural similarity.Meanwhile,a link sequence was obtained through the similarity ranking result.Fi-nally,the sequence was used as a basis for determining the stability of bidirectional links in the multi-dimensional network.Experimental results show that the proposed algorithm can obtain high-precision and efficient prediction re-sults,which is conducive to improving the stability of network links.
NETL
NSTL
万方数据
维普
