GSAM: A deep neural network model for extracting computational representations of Chinese addresses fused with geospatial feature.
Liuchang XuZhenhong DuRuichen MaoFeng ZhangRenyi LiuPublished in: Comput. Environ. Urban Syst. (2020)
Keyphrases
- neural network model
- neural network
- artificial neural networks
- multilayer perceptron
- network architecture
- input variables
- using artificial neural networks
- multiple features
- vector representation
- data fusion
- rbf neural network
- multi layer perceptron
- bp neural network
- neural models
- back propagation neural network
- information fusion
- chinese characters
- feature set
- feature selection