Paper Information

Title: 

INTELLIGENT ESTIMATION OF FLOW IN UNGAUGED CATCHMENTS BY USING ARTIFITIAL NEURAL NETWORKS

Type: PAPER
Author(s): DEHGHANI AMIR AHMAD,AHMADI REZA
 
 
 
Name of Seminar: INTERNATIONAL CONFERENCE ON WATER CRISIS
Type of Seminar:  CONFERENCE
Sponsor:  zabol University
Date:  2009Volume 1
 
 
Abstract: 

DUE TO ECONOMIC PROBLEMS AND LACK OF FACILITY, IT IS NOT POSSIBLE TO HAVE THE HYGROMETRY STATIONS IN ALL PART OF THE CATCHMENTS. THUS IT IS NECESSARY TO HAVE A GOOD PREDICTION OF FLOW DISCHARGE IN ORDER TO COMPUTE THE SEDIMENT YIELD IN CATCHMENTS.
RECENTLY, THE ARTIFICIAL NEURAL NETWORKS IS WIDELY USE IN ENGINEERING SCIENCES. THE ARTIFICIAL NEURAL NETWORK IS BASED ON SIMULATION OF BRAIN FUNCTION IN LEARNING PROCESS.
IN THIS STUDY, THE FLOW IN PART OF ATRAK RIVER WITH UNGAUGED CATCHMENTS WAS ESTIMATED BY USING MULTILAYER PERCEPTRON (MLP) WITH BP LEARNING RULE. THE RESULTS SHOW THE ABILITY OF NEURAL NETWORK IN ESTIMATION OF FLOW IN UNGAUGED CATCHMENTS.

 
Keyword(s): FLOW, UNGAUGED CATCHMENTS, ARTIFITIAL NEURAL NETWORKS, MULTI LAYER PERCEPTRON
 
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