A Study of Watershed Hydrological Models Constructed by Hybrid Artificial Neural Networks
博士 === 國立臺灣大學 === 生物環境系統工程學系暨研究所 === 90 === A radial basis function neural network (RBFNN) is proposed to develop a hydrological model for flood forecasting and water stage data reconstruction. For faster training speed, the RBFNN employs a hybrid two-stage learning scheme. During the first stage,...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2002
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/89698403680143564559 |