Abstract
Recently, researchers show that the handwritten digit recognition is a challenging problem. In this paper first, we introduce a Modified Self Organizing Maps for vector quantization problem then we present a Convolutional Recursive Modified SOM to the problem of handwritten digit recognition. The Modified SOM is novel in the sense of initialization process and the topology preservation. The experimental result on the well known digit database of MNIST, denotes the superiority of the proposed algorithm over the existing SOM-based methods.
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Notes
- 1.
Convolutional Neural Network.
- 2.
Adaptive-Subspace Self-Organizing Map.
- 3.
Linear Manifold Self Organizing Map.
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Mohebi, E., Bagirov, A. (2014). CR-Modified SOM to the Problem of Handwritten Digits Recognition. In: Bramer, M., Petridis, M. (eds) Research and Development in Intelligent Systems XXXI. SGAI 2014. Springer, Cham. https://doi.org/10.1007/978-3-319-12069-0_17
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DOI: https://doi.org/10.1007/978-3-319-12069-0_17
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