類神經網路於烏溪流域洪流預報之應用

The Application of The Artificial Neural Network for The Flood Forecasting Model in Wu-Shi Basin

陳昶憲(Chang-Shian Chen) ； 楊朝仲(Chao-Chung Yang) ； 王益文(Yi-Wen Wang)

《中華水土保持學報》 27卷4期 (1996/12) Pp. 267-274

https://doi.org/10.29417/JCSWC.199612_27(4).0002

摘要

本文以類神經網路中之倒傳遞網路建立洪流演算預報模式架構，並將所蒐集的烏溪流域實測資料進行網路學習訓練，以推求模式代表性參數。接著利用學習過程所建立之模式，藉由網路的回想過程來預測下一時刻的下游出流量。本文所建立之「類神經洪流預報模式」於驗證上有良好的表現，其效率係數皆在0.79以上，而洪峰誤差皆在0.13以下。因此利用類神經網路進行洪流預報的方式，將具有相當的發展性。

關鍵字

類神經網路 ； 倒傳遞網路 ； 洪流預報

並列摘要

In this paper, back-propagation network of the artificial neural network has been employed to establish the frame work of flood forecasting model. The data collected from Wu-Shi Basin has been used to proceed the training of learning network and obtain the model parameters thereby. Further, the recalling process of flood forecasting model was often performed in order to forecast the one step ahead outflow of downstream gauging. The results obtained model verification are satisfactory. The coefficient of efficiency was as high as 0.79, and the error in flood volume was less than 0.13.

並列關鍵字

Artificial Neural Network ； Back-Propagation Network ； Flood Forecasting