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

• 主要な著者: Haruna, Chiroma, Abdul-Kareem, Sameem, Saadi, Younes, Khan, Abdullah, Abubakar, Adamu, Abdullahi Muaz, Sanah, Ya’u Gital, Abdulsalam, Mohd Shuib, Nor Liyana
• フォーマット: 図書の章
• 言語: English; English
• 出版事項: Springer Nature Singapore 2019
• 主題: Q350 Information theory
• オンライン･アクセス: 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; http://irep.iium.edu.my/74275/; https://link.springer.com/chapter/10.1007%2F978-981-13-1799-6_16; https://doi.org/10.3991/ijim.v13i01.7037

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...