한국해양대학교

Detailed Information

Metadata Downloads

신경망을 이용한 컨테이너 물동량 예측에 관한 연구

Title
신경망을 이용한 컨테이너 물동량 예측에 관한 연구
Alternative Title
A Study on the Forecast of Container Volume using Neural Network
Author(s)
朴盛永
Publication Year
2002
Publisher
한국해양대학교
URI
http://kmou.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002173924
http://repository.kmou.ac.kr/handle/2014.oak/9599
Abstract
The forecast of a container traffic has been very important for port plan and development. Generally, Statistic methods, such as moving average method, exponential smoothing, regression analysis, have been much used for traffic forecasting. But, by considering various factors related to the port affect the forecasting of container volume, neural network of parallel processing system can be effective to forecast container volume based on various factors.
Appears in Collections:
물류시스템공학과 > Thesis
Files in This Item:
000002173924.pdf Download

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse