대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2007년도 학술대회 논문집 전문대학교육위원
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- Pages.83-87
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- 2007
임의의 다차원 정보의 온라인 전송을 위한 상관기법전파신경망
Correlation Propagation Neural Networks for processing On-line Interpolation of Multi-dimention Information
- Kim, Jong-Man (Dept. of Computer Applied Electricity, Namdo Provincial College) ;
- Kim, Won-Sop (Dept. of Computer Applied Electricity, Namdo Provincial College)
- 발행 : 2007.11.16
초록
Correlation Propagation Neural Networks 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 CPNN 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 CPNN hardware.
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