Comparison of hybrid ANN models: A case study of instant noodle industry in Indonesia

Fradinata, et al.

International Journal of Advanced and Applied Sciences

Int. j. adv. appl. sci.

EISSN: 2313-3724

Print ISSN: 2313-626X

Volume 4, Issue 8 (August 2017), Pages: 19-28

Title: Comparison of hybrid ANN models: A case study of instant noodle industry in Indonesia

Author(s): Edy Fradinata ^{1, 2,} *, Sakesun Suthummanon ², Wannarat Sunthiamorntut ³

Affiliation(s):

¹Industrial Engineering, Universitas Serambi Mekkah, Banda Aceh, Indonesia
²Industrial Engineering, Prince of Songkla University, Hatyai, Thailand
³Computer Engineering, Prince of Songkla University, Hatyai, Thailand

https://doi.org/10.21833/ijaas.2017.08.004

Full Text - PDF XML

Abstract:

Artificial neural networks (ANNs) is the most stand popular practice to forecast the demand product since the other techniques still do not give the more accuracy. Furthermore, the hybrid method from ANN promises the best alternative to predict the customer demand. This paper proposes the hybrid model of ANN with the analytic hierarchy process (AHP), Monte Carlo (MC), and geometric random distribution to create new models to obtain the unusual methods in prediction. Those methods are substituted in the spaces of input weight and bias in the network. These hybrid methods are called AHP_iwANN_b and MC_iwANN_b. The hybrid technique of ANN has an approach of the time series-forecasting model. ANN is implemented in the testing case after the training process has run by the system, and process of validate is compared the testing from the training dataset. The Overall process is iterating the error to produce the mean squared error (MSE). The conclusions of this study, the hybrid ANN with AHP, MC and geometric random distributions show the good result of small MSE. More specifically, the hybrid AHPANN is better than hybrid MCANN.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: Hybrid method, Artificial Neural Networks, Analytic hierarchy process, Monte carlo, Geometric random, Forecasting model

Article History: Received 8 April 2017, Received in revised form 23 June 2017, Accepted 29 June 2017

Digital Object Identifier:

https://doi.org/10.21833/ijaas.2017.08.004

Citation:

Fradinata E, Suthummanon S, and Sunthiamorntut W (2017). Comparison of hybrid ANN models: A case study of instant noodle industry in Indonesia. International Journal of Advanced and Applied Sciences, 4(8): 19-28

http://www.science-gate.com/IJAAS/V4I8/Fradinata.html

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