文章基本信息

标题：Copula-Based Feedforward Neural Network Genetic Algorithm Cargo Forecasting
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作者：Toni Toharudin ; Rezzy Eko Caraka ; Achmad Bachrudin 等
期刊名称：International Journal of Advances in Soft Computing and Its Applications
印刷版ISSN：2074-8523
出版年度：2019
卷号：11
期号：1
页码：22-33
出版社：International Center for Scientific Research and Studies
摘要：The presence of revolution industry 4.0 made business activities increasing one of them is transaction and online shopping. Moreover, it makes the amount of export and import Cargo significantly increased. Bandung is one of the largest city in Indonesia who often visited foreign tourists and became fashion city of Indonesia and impact to the increases of cargo amount. In this paper we proposed copula and soft computing neural network with genetic algorithm also to analysis as well as forecasting of cargo amount that is affected by planes variable by reaching MAPE FFNN-AG 1.09% and Neuro-Copula 1.17% respectively.
关键词：Copula; Neural Network; Cargo; Genetic Algorithm