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Volumn 27, Issue 3, 2011, Pages 463-482

A comparison of traditional and neural networks forecasting techniques for container throughput at bangkok port

Author keywords

Container throughput; Forecasting; Linear Regression; Multilayer Perceptron (MLP); Neural Networks

Indexed keywords


EID: 84881117735     PISSN: 20925212     EISSN: None     Source Type: Journal    
DOI: 10.1016/S2092-5212(11)80022-2     Document Type: Article
Times cited : (89)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.