Bio-inspired algorithm optimization of neural network for the prediction of Dubai crude oil price

Previous studies proposed several bio-inspired algorithms for the optimization of Neural Network (NN) to avoid local minima and to improve accuracy and convergence speed. To advance the performance of NN, a new bio-inspired algorithm called Flower Pollination Algorithm (FPA) is used to optimize t...

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Main Authors:	Haruna, Chiroma, Abdul-Kareem, Sameem, Saadi, Younes, Khan, Abdullah, Abubakar, Adamu, Abdullahi Muaz, Sanah, Ya’u Gital, Abdulsalam, Mohd Shuib, Nor Liyana
Format:	Book Chapter
Language:	English English
Published:	Springer Nature Singapore 2019
Subjects:	Q350 Information theory
Online Access:	http://irep.iium.edu.my/74275/ http://irep.iium.edu.my/74275/ http://irep.iium.edu.my/74275/ http://irep.iium.edu.my/74275/7/74275_Estimation%20of%20Middle-East%20Oil%20Consumption_scopus.pdf http://irep.iium.edu.my/74275/12/74275_Bio-inspired%20algorithm%20optimization.pdf

id	iium-74275
recordtype	eprints
spelling	iium-742752020-01-29T07:41:26Z http://irep.iium.edu.my/74275/ Bio-inspired algorithm optimization of neural network for the prediction of Dubai crude oil price Haruna, Chiroma Abdul-Kareem, Sameem Saadi, Younes Khan, Abdullah Abubakar, Adamu Abdullahi Muaz, Sanah Ya’u Gital, Abdulsalam Mohd Shuib, Nor Liyana Q350 Information theory Previous studies proposed several bio-inspired algorithms for the optimization of Neural Network (NN) to avoid local minima and to improve accuracy and convergence speed. To advance the performance of NN, a new bio-inspired algorithm called Flower Pollination Algorithm (FPA) is used to optimize the weights and bias of NN due to its ability to explore very large search space and frequent chosen of similar solution. The FPA optimized NN (FPNN) was applied to build a model for the prediction of Dubai crude oil price unlike previous studies that mainly focus on theWest Texas Intermediate and Brent crude oil price benchmarks. Results Springer Nature Singapore 2019 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/74275/7/74275_Estimation%20of%20Middle-East%20Oil%20Consumption_scopus.pdf application/pdf en http://irep.iium.edu.my/74275/12/74275_Bio-inspired%20algorithm%20optimization.pdf Haruna, Chiroma and Abdul-Kareem, Sameem and Saadi, Younes and Khan, Abdullah and Abubakar, Adamu and Abdullahi Muaz, Sanah and Ya’u Gital, Abdulsalam and Mohd Shuib, Nor Liyana (2019) Bio-inspired algorithm optimization of neural network for the prediction of Dubai crude oil price. In: Lecture Notes in Electrical Engineering. Lecture Notes in Electrical Engineering, 520 (https://doi.org/10.1007/978-981-13-1799-6_17). Springer Nature Singapore, Singapore, pp. 151-162. ISBN 978-3-030-17794-2 https://link.springer.com/chapter/10.1007%2F978-981-13-1799-6_16 https://doi.org/10.3991/ijim.v13i01.7037
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	Q350 Information theory
spellingShingle	Q350 Information theory Haruna, Chiroma Abdul-Kareem, Sameem Saadi, Younes Khan, Abdullah Abubakar, Adamu Abdullahi Muaz, Sanah Ya’u Gital, Abdulsalam Mohd Shuib, Nor Liyana Bio-inspired algorithm optimization of neural network for the prediction of Dubai crude oil price
description	Previous studies proposed several bio-inspired algorithms for the optimization of Neural Network (NN) to avoid local minima and to improve accuracy and convergence speed. To advance the performance of NN, a new bio-inspired algorithm called Flower Pollination Algorithm (FPA) is used to optimize the weights and bias of NN due to its ability to explore very large search space and frequent chosen of similar solution. The FPA optimized NN (FPNN) was applied to build a model for the prediction of Dubai crude oil price unlike previous studies that mainly focus on theWest Texas Intermediate and Brent crude oil price benchmarks. Results
format	Book Chapter
author	Haruna, Chiroma Abdul-Kareem, Sameem Saadi, Younes Khan, Abdullah Abubakar, Adamu Abdullahi Muaz, Sanah Ya’u Gital, Abdulsalam Mohd Shuib, Nor Liyana
author_facet	Haruna, Chiroma Abdul-Kareem, Sameem Saadi, Younes Khan, Abdullah Abubakar, Adamu Abdullahi Muaz, Sanah Ya’u Gital, Abdulsalam Mohd Shuib, Nor Liyana
author_sort	Haruna, Chiroma
title	Bio-inspired algorithm optimization of neural network for the prediction of Dubai crude oil price
title_short	Bio-inspired algorithm optimization of neural network for the prediction of Dubai crude oil price
title_full	Bio-inspired algorithm optimization of neural network for the prediction of Dubai crude oil price
title_fullStr	Bio-inspired algorithm optimization of neural network for the prediction of Dubai crude oil price
title_full_unstemmed	Bio-inspired algorithm optimization of neural network for the prediction of Dubai crude oil price
title_sort	bio-inspired algorithm optimization of neural network for the prediction of dubai crude oil price
publisher	Springer Nature Singapore
publishDate	2019
url	http://irep.iium.edu.my/74275/ http://irep.iium.edu.my/74275/ http://irep.iium.edu.my/74275/ http://irep.iium.edu.my/74275/7/74275_Estimation%20of%20Middle-East%20Oil%20Consumption_scopus.pdf http://irep.iium.edu.my/74275/12/74275_Bio-inspired%20algorithm%20optimization.pdf
first_indexed	2023-09-18T21:45:13Z
last_indexed	2023-09-18T21:45:13Z
_version_	1777413404260040704

Bio-inspired algorithm optimization of neural network for the prediction of Dubai crude oil price

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