대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
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실시간 보간 가능을 갖는 정보전파신경망의 개발

Development of Information Propagation Neural Networks processing On-line Interpolation

  • 김종만 (전북대학교 전기전자제어공학부) ;
  • 신동용 (한라대학 방사선과) ;
  • 김형석 (전북대학교 전기전자제어공학부) ;
  • 김성중 (전북대학교 전기전자제어공학부)
  • Kim, Jong-Man (Dept. of Electrical Electronical and Control Engineering Chonbuk University) ;
  • Sin, Dong-Yong (Dept. of Radial Rays Hanra College) ;
  • Kim, Hyong-Suk (Dept. of Electrical Electronical and Control Engineering Chonbuk University) ;
  • Kim, Sung-Joong (Dept. of Electrical Electronical and Control Engineering Chonbuk University)
  • 발행 : 1998.07.20
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초록

Lateral Information Propagation Neural Networks (LIPN) is proposed for on-line interpolation. The proposed neural network technique is the real time computation method through the inter-node diffusion. In the network, a node corresponds to a state in the quantized input space. Each node is composed of a processing unit and fixed weights from its neighbor nodes as well as its input terminal. Information propagates among neighbor nodes laterally and inter-node interpolation is achieved. Through several simulation experiments, real time reconstruction of the nonlinear image information is processed. 1-D LIPN hardware has been implemented with general purpose analog ICs to test the interpolation capability of the proposed neural networks. Experiments with static and dynamic signals have been done upon the LIPN hardware.

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