Road-type classification with deep autoencoder

HIGHLIGHTS

• who: Mohale E. Molefe from the School of Engineering, University of KwaZulu Natal, Durban, South Africa have published the Article: Road-Type Classification with Deep AutoEncoder, in the Journal: Computational Intelligence and Neuroscience of 14/03/2023
• what: The authors propose a deep autoencoder model for representation learning to classify road network types. In this work, however, a method for representing different road types as feature vectors is proposed, such that machine_learning classifcation algorithms can be trained and evaluated on these features. The authors train each DAE model listed in Table 3 using different learning . . .
  

   

  

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