Co - active neuro-fuzzy inference systems model for predicting crude oil price based on OECD inventories

• 主要な著者: Chiroma, Haruna, Abdulkareem, Sameem, Abubakar, Adamu, Zeki, Akram M., Gital, Abdulsam Ya'u, Usman, Mohammed Joda
• フォーマット: Conference or Workshop Item
• 言語: English
• 出版事項: 2013
• 主題: T Technology (General)
• オンライン･アクセス: http://irep.iium.edu.my/35755/1/06716714.pdf; http://irep.iium.edu.my/35755/; http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6716714

This paper present a novel approach to crude oil price prediction based on co-active neuro-fuzzy inference systems (CANFIS) instead of the commonly use fuzzy neural network and adaptive network-based fuzzy inference systems due to superiority and robustness of the CANFIS model. Monthly data of West...