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A Study on the Implementation of Serious Game Learning Multiplication Table using Back Propagation Neural Network on Divided Interconnection Weights Table

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2009, 14(10), pp.233-240
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

이경호 1

1한라대학교

Accredited

ABSTRACT

In this paper we made the serious game learning multiplication table to be evolved. The serious game is to induce the interest of the learner. This program has an interaction form which reflects the intention of the user and using this program a learner to learn the multiplication table as teacher's location are training a program that are seen as the abata and came to be that learner is smart. A study ability to be evolved used an back propagation neural networks. But we improved a study speed using divided weight table concept. The engine is studied perfectly in 60~80 times training. The learning rate increase to various non-monotonic functional form not to do a mechanical rise. And the learning rate is similar with the study ability of the human.

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