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

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

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Abstract

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

Item Type:	Book Chapter
Additional Information:	7132/74275
Uncontrolled Keywords:	Flower pollination algorithm · Neural network · Dubai crude oil price benchmark · West Texas intermediate crude oil price
Subjects:	Q Science > Q Science (General) > Q300 Cybernetics > Q350 Information theory
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr Adamu Abubakar
Date Deposited:	15 Oct 2019 02:31
Last Modified:	29 Jan 2020 15:41
URI:	http://irep.iium.edu.my/id/eprint/74275

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