Abstract
Artificial neural network has achieved great success in many fields. Considering the unique advantages of naturally generated networks, we combine the geometric complex network model with the existing neural network model to build a neural network with geometric space structure characteristics. We proposes a GeoNet neural network model based on a random geometric network structure and finds that the neural network with a natural structure has good classification performance, and the classification accuracy is higher than the widely used neural network structure.
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Acknowledgement
This work was supported by the Open Funding Projects of the State Key Laboratory of Communication Content Cognition (No. 20K05 and No. A02107).
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Cui, X. et al. (2023). GeoNet: Artificial Neural Network Based on Geometric Network. In: Qiu, M., Lu, Z., Zhang, C. (eds) Smart Computing and Communication. SmartCom 2022. Lecture Notes in Computer Science, vol 13828. Springer, Cham. https://doi.org/10.1007/978-3-031-28124-2_48
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