An artificial neural network algorithm and time series for improved forecasting of oil estimation: A case study of south korea and united kingdom (2001-2008)

This paper presents an Artificial Neural Network (ANN) algorithm to improve oil production forecasting. ANN algorithm is developed by different data preprocessing methods and considering different training algorithms and transfer functions in ANN models. Bayesian regularization backpropagation (BR),...

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Bibliographic Details

Published in:	2009 3rd IEEE International Conference on Digital Ecosystems and Technologies pp. 739 - 744
Main Authors:	Nadimi, V., Azadeh, A., Saberi, M., Fattahi, S., Danesh, B., Tajvidi, A.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2009
Subjects:	ACF Artificial Neural Network (ANN) Artificial neural networks Autocorrelation Backpropagation algorithms Bayesian methods Data preprocessing Input variables Neurons Oil Production Estimation Petroleum Prediction Production Time Series Transfer functions
ISBN:	9781424423453, 1424423457
ISSN:	2150-4938
Online Access:	Get full text
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