Evapotranspiration modeling using second-order neural networks

Journal of Hydrologic Engineering

Volumn 19, Issue 6, 2014, Pages 1131-1140

  Adamala, Sirisha ^a   Raghuwanshi, N S ^a   Mishra, Ashok ^a   Tiwari, Mukesh K ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

^b ANAND AGRICULTURAL UNIVERSITY   (India)

Author keywords

Evapotranspiration; Feed forward; Higher order; Neural networks

Indexed keywords

BACKPROPAGATION; EVAPOTRANSPIRATION; FEEDFORWARD NEURAL NETWORKS; MEAN SQUARE ERROR; NEURAL NETWORKS; WIND;

COEFFICIENT OF DETERMINATION; DIFFERENT CLIMATIC ZONES; EVAPOTRANSPIRATION MODELING; FEED FORWARD; FEED-FORWARD BACK PROPAGATION; HIGHER-ORDER; NUMBER OF HIDDEN NEURONS; REFERENCE EVAPOTRANSPIRATION;

CLIMATE MODELS;

ARTIFICIAL NEURAL NETWORK; ERROR ANALYSIS; EVAPOTRANSPIRATION; MODELING;

INDIA;

EID: 84910611249     PISSN: 10840699     EISSN: 19435584     Source Type: Journal    
DOI: 10.1061/(ASCE)HE.1943-5584.0000887     Document Type: Article

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