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Information Seminar Paper

Title

DAILY RIVER STREAM FLOW SIMULATION USING HYBRID GENETIC ALGORITHM-SUPPORT VECTOR REGRESSION (GA-SVR) MODEL

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Abstract

 THE SUITABLE FORECAST IN THE FLOW RIVER HELPS TO MANAGEMENT AND PROGRAMMING WATER RESOURCES IN THE REGION. THUS, IN THE PAPER HAS BEEN CHECKED TO DAILY FORECAST FOR THE CURRENT STATION BYTES IN THE MAHABAD DAM BETWEEN FROM 1382-1383 TO 1385-1386. THE USE IN THE ARTIFICIAL INTELLIGENCE TECHNIQUES HAVE BEEN APPLICATION IN FORECASTS TO IN RECENT YEAR.ONE OF THE ARTIFICIAL INTELLIGENCE TECHNIQUES HAS BEEN USED IN THE SUPPORT VECTOR REGRESSION. THE SUITABLE USES IN THIS WAY NEED TO ARRANGE THE GOOD PARAMETERS TO TRIAL AND ERROR. ARRANGES THIS PARAMETER TO THE TRIAL AND ERROR WAYS DO NOT HAVE THE PROPERLY, BUT IN THIS PAPER, THE PROPER ARRANGE IN THE PARAMETER DONE AUTOMATICS BY GENETIC ALGORITHM. THE RESULTS HAVE BEEN DISPLAYED THE CORRELATION COEFFICIENT FOR THE TRAINING DATA IS EQUAL. /692 AND TO THE EXPERIMENTS DATA IS EQUAL. /542.

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