한국철도학회:학술대회논문집 (Proceedings of the KSR Conference)
- 한국철도학회 2006년도 추계학술대회 논문집
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- Pages.1405-1410
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- 2006
인공신경망을 이용한 연약지반 침하량 산정
Soft Ground Settlement Estimation Using Neural Network
초록
Purpose of this research is that offers basic data for optimized design using neural network method to calculate consolidation settlement in study area. In this research, preformed the neural network method that analyzed the settlement characteristics of soft ground nearby study area. Thus, data base established on ground properties and consolidation settlement of neighboring area. In addition, designed the optimum neural network model for prediction of settlement through network learning and consolidation settlement prediction using consolidation settlement DB and ground properties DB. Optimized neural network model decided by repeated learning for various case of hidden layers. In this study, proposed that the optimized consolidation settlement calculation method using neural network and verified which is the optimized consolidation settlement calculation method using neural network.
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