한국전기전자재료학회:학술대회논문집 (Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference)
- 한국전기전자재료학회 2001년도 추계학술대회 논문집 Vol.14 No.1
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- Pages.46-51
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- 2001
에라 정보의 실시간 인식을 위한 전파신경망
Propagation Neural Networks for Real-time Recognition of Error Data
- 발행 : 2001.11.08
초록
For Fast Real-time Recognition of Nonlinear Error Data, a new Neural Network algorithm which recognized the map in real time is proposed. 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. The most reliable algorithm derived for real time recognition of map, is a dynamic programming based algorithm based on sequence matching techniques that would process the data as it arrives and could therefore provide continuously updated neighbor information estimates. Through several simulation experiments, real time reconstruction of the nonlinear map information is processed,