SETTING UP STAGE-DISCHARGE RELATIONS USING ANN

被引：63

作者：

Jain, S. K. ^{[1
]}

Chalisgaonkar, D. ^{[1
]}

机构：

[1] Nat Inst Hydro, Roorkee 247667, Uttar Pradesh, India

来源：

JOURNAL OF HYDROLOGIC ENGINEERING | 2000年 / 5卷 / 04期

关键词：

D O I：

10.1061/(ASCE)1084-0699(2000)5:4(428)

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

The artificial neural networks (ANNs) that try to mimic the functioning of the human brain are a powerful tool for input-output mapping. The setting up of a stage-discharge relation is an important part of the processing of streamflow data. Three-layer feedforward ANNs have been used to model river-rating curves. The results show that the ANN approach is much superior as compared to the conventional curve-fitting approach. The ANN is also able to model a loop-rating curve (hysteresis effect) very well.

引用

页码：428 / 433

页数：6

共 13 条

[11] Deriving a general operating policy for reservoirs using neural network [J].

Raman, H ;

Chandramouli, V .

JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT-ASCE, 1996, 122 (05) :342-347

[12] A non-linear rainfall-runoff model using an artificial neural network [J].

Sajikumar, N ;

Thandaveswara, BS .

JOURNAL OF HYDROLOGY, 1999, 216 (1-2) :32-55

[13] NEURAL-NETWORK MODELS OF RAINFALL-RUNOFF PROCESS [J].

SMITH, J ;

ELI, RN .

JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT-ASCE, 1995, 121 (06) :499-508

← 1 2 →