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...
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: | |
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 |
Similar Items
-
Estimation of Middle-East oil
consumption using hybrid
meta-heuristic algorithms
by: Haruna, Chiroma, et al.
Published: (2019) -
A review on artificial intelligence methodologies for the forecasting of crude oil price
by: Haruna, Chiroma, et al.
Published: (2016) -
Bio-inspired computation: Recent development on the modifications of the cuckoo search algorithm
by: Haruna, Chiroma, et al.
Published: (2017) -
Computational intelligence techniques with application to crude oil price projection: a literature survey from 2001–2012
by: Haruna, Chiroma, et al.
Published: (2013) -
An ensemble CRT, RVFLN, SVM method for estimating Propane Spot Price
by: Haruna, Chiroma, et al.
Published: (2015)