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ISSN : 2005-0461(Print)
ISSN : 2287-7975(Online)

Journal of Society of Korea Industrial and Systems Engineering Vol.25 No.2 pp.77-83
DOI :

보정된 가솔린 수요예측치: 인공신경망적 접근

염창선

부경대학교 경영학부

Adjusted Gasoline Demand Forecasts: Artificial Neural Networks Approach

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Abstract

Key Words : Gasoline Demand Forecasting; Artificial Neural Networks; Adjustment

: SOGOBO_2002_v25n2_77.pdf459.4KB

Reference

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