%0 Journal Article %1 mohebi-convolutional-recursive-SOM-2014 %A Mohebi, Ehsan %A Bagirov, Adil %D 2014 %J Neural Networks %K mnist som %P 104--118 %R http://dx.doi.org/10.1016/j.neunet.2014.08.001 %T A convolutional recursive modified Self Organizing Map for handwritten digits recognition %U http://www.sciencedirect.com/science/article/pii/S0893608014001968 %V 60 %X Abstract It is well known that the handwritten digits recognition is a challenging problem. Different classification algorithms have been applied to solve it. Among them, the Self Organizing Maps (SOM) produced promising results. In this paper, first we introduce a Modified \SOM\ for the vector quantization problem with improved initialization process and topology preservation. Then we develop a Convolutional Recursive Modified \SOM\ and apply it to the problem of handwritten digits recognition. The computational results obtained using the well known \MNIST\ dataset demonstrate the superiority of the proposed algorithm over the existing SOM-based algorithms.

@article{mohebi-convolutional-recursive-SOM-2014, abstract = {Abstract It is well known that the handwritten digits recognition is a challenging problem. Different classification algorithms have been applied to solve it. Among them, the Self Organizing Maps (SOM) produced promising results. In this paper, first we introduce a Modified \{SOM\} for the vector quantization problem with improved initialization process and topology preservation. Then we develop a Convolutional Recursive Modified \{SOM\} and apply it to the problem of handwritten digits recognition. The computational results obtained using the well known \{MNIST\} dataset demonstrate the superiority of the proposed algorithm over the existing SOM-based algorithms.}, added-at = {2016-07-12T19:24:18.000+0200}, author = {Mohebi, Ehsan and Bagirov, Adil}, biburl = {https://www.bibsonomy.org/bibtex/22bc61eb26b810b812a6e2f2cd212f1cd/mhwombat}, doi = {http://dx.doi.org/10.1016/j.neunet.2014.08.001}, interhash = {a9c22f65f2e13dbccd6c9b9f0b794160}, intrahash = {2bc61eb26b810b812a6e2f2cd212f1cd}, issn = {0893-6080}, journal = {Neural Networks}, keywords = {mnist som}, pages = {104--118}, timestamp = {2016-07-12T19:25:30.000+0200}, title = {A convolutional recursive modified Self Organizing Map for handwritten digits recognition}, url = {http://www.sciencedirect.com/science/article/pii/S0893608014001968}, volume = 60, year = 2014 }