Copula-based feedforward neural network genetic algorithm cargo forecasting

Toni Toharudin, Rezzy Eko Caraka, Achmad Bachrudin, Sakhinah Abu Bakar, Dewi Ambarsari

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)22-33
Number of pages12
JournalInternational Journal of Advances in Soft Computing and its Applications
Volume11
Issue number1
Publication statusPublished - 1 Jan 2019

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Feedforward neural networks
Genetic algorithms
Soft computing
Industry
Neural networks

Keywords

  • Cargo
  • Copula
  • Genetic algorithm
  • Neural network

ASJC Scopus subject areas

  • Computer Science Applications

Cite this

Copula-based feedforward neural network genetic algorithm cargo forecasting. / Toharudin, Toni; Caraka, Rezzy Eko; Bachrudin, Achmad; Abu Bakar, Sakhinah; Ambarsari, Dewi.

In: International Journal of Advances in Soft Computing and its Applications, Vol. 11, No. 1, 01.01.2019, p. 22-33.

Research output: Contribution to journalArticle

Toharudin, Toni ; Caraka, Rezzy Eko ; Bachrudin, Achmad ; Abu Bakar, Sakhinah ; Ambarsari, Dewi. / Copula-based feedforward neural network genetic algorithm cargo forecasting. In: International Journal of Advances in Soft Computing and its Applications. 2019 ; Vol. 11, No. 1. pp. 22-33.
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