scholarly journals Physical characteristics of stream subbasins in the Cottonwood River basin, southwestern Minnesota

1995 ◽  
Author(s):  
C.A. Sanocki
Keyword(s):  
River Basin ◽  
Physical Characteristics

scholarly journals Equídeos gravados no curso inferior do Rio Mouro, Monção (NW Portugal). Análise preliminar

2020 ◽  
pp. 631-644
Author(s):  
Luís Coutinho ◽  
Ana M. S. Bettencourt ◽  
Hugo Aluai Sampaio
Keyword(s):  
River Basin ◽  
Physical Characteristics ◽  
The South ◽  
Nw Portugal ◽  
Minho River

This paper focuses on the representation of horses graved on rocks in the Mouro River basin (NW Portugal), an afluent in the south margin of the Minho River. The objectives are the study of its distribution in space, in relation to physical characteristics; the specificity of types of graved horses; the characteristics of the rocks graved by group of horses; the orientation of horses by type and their disposition in the rock compared to other graved motifs.

scholarly journals Forecasting water demand using back propagation networks in the operation of reservoirs in the citarum cascade, west java, indonesia

2017 ◽  
Vol 18 (2) ◽  
Author(s):  
Mulya R. Mashudi
Keyword(s):  
Neural Networks ◽  
River Basin ◽  
Water Demand ◽  
Historical Data ◽  
Back Propagation ◽  
Meteorological Conditions ◽  
Physical Characteristics ◽  
Activation Functions ◽  
West Java ◽  
Gaussian Functions

This study investigates the use of Neural Networks (NN) as a potential means of more accurately forecasting water demand in the Citarum River basin cascade. Neural Networks have the ability to recognise nonlinear patterns when sufficiently trained with historical data. The study constructs a NN model of the cascade, based on Back Propagation Networks (BPN). Data representing physical characteristics and meteorological conditions in the Citarum River basin from 1989 through 1995 were used to train the BPN. Nonlinear activation functions (sigmoid, tangent, and gaussian functions) and hidden layers in the BPN were chosen for the study.

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