Temporal Signal Processing by Feedback SOM: An Application to On-line Character Recognition Task

  • Authors:

  • Hiroshi Wakuya;Akira Terada

  • Affiliations:

  • Faculty of Science and Engineering, Saga University, Saga, Japan 840-8502;Faculty of Science and Engineering, Saga University, Saga, Japan 840-8502

  • Venue:
  • ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
  • Year:
  • 2009

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Abstract

An Elman-type feedback SOM (EFSOM) is a revised version of the standard SOM for dealing with time-variant information. In order to estimate its performance, an on-line character recognition task is tried with a large-scale training data set in this paper. At the same time, an idea for increasing the number of firing neurons in the competitive layer is examined to improve its trainability by means of enriching the state information. After the EFSOM is trained successfully, some validation tests for spatial displacement and temporal elasticity are also investigated. As a result of computer simulations, it is found that the EFSOM shows good performance and has good temporal signal processing ability.