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

QR Code

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

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...

Full description

Bibliographic Details
Main Authors:	Chiroma, Haruna, Abdulkareem, Sameem, Abubakar, Adamu, Zeki, Akram M., Gital, Abdulsam Ya'u, Usman, Mohammed Joda
Format:	Proceeding Paper
Language:	English
Published:	2013
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/35755/ http://irep.iium.edu.my/35755/1/06716714.pdf

Similar Items

Computational intelligence techniques with application to crude oil price projection: A literature survey from 2001-2012
by: Chiroma, Haruna, et al.
Published: (2013)

Comparing performances of Markov Blanket and Tree Augmented Naïve-Bayes on the IRIS dataset
by: Haruna, Chiroma, et al.
Published: (2014)

Optimization of neural network through genetic algorithm searches for the prediction of international crude oil price based on energy products prices
by: Chiroma, Haruna, et al.
Published: (2014)

Intelligent system for predicting the price of natural gas based on non-oil commodities
by: Chiroma, Haruna, et al.
Published: (2013)

Orthogonal wavelet support vector machine for predicting crude oil prices
by: Chiroma, Haruna, et al.
Published: (2014)

Modified low energy adaptive clustering hierarchy protocol for efficient energy consumption in wireless sensor networks
by: Usman, Mohammed Joda, et al.
Published: (2014)

Computational intelligence techniques with application to crude oil price projection: a literature survey from 2001–2012
by: Haruna, Chiroma, et al.
Published: (2013)

A framework for realizing universal standardization for internet of things
by: Usman, Mohammed Joda, et al.
Published: (2014)

Investigating the dynamics of watermark features in audio streams
by: Zeki, Akram M., et al.
Published: (2013)

Kernel functions for the support vector machine: comparing performances on crude oil price data
by: Chiroma, Haruna, et al.
Published: (2014)

Bio-inspired algorithm optimization of neural network for the prediction of Dubai crude oil price
by: Haruna, Chiroma, et al.
Published: (2019)

Hybrid of swarm intelligent algorithms in medical applications
by: Abubakar, Adamu, et al.
Published: (2019)

Comparing performances of neural network models built through transformed and original data
by: Abubakar, Adamu, et al.
Published: (2015)

Neuro – Genetic model for the projection of crude oil price capable of handling of uncertainty / Haruna Chiroma
by: Haruna , Chiroma
Published: (2015)

Automatic interactive security monitoring system
by: Zeki, Akram M., et al.
Published: (2013)

Performance analysis of cloud-based cve communication architecture in comparison with the traditional client server, p2p and hybrid models
by: Gital, Abdulsam Ya'u, et al.
Published: (2014)

Global warming: predicting OPEC carbon dioxide emissions from petroleum consumption using neural network and hybrid cuckoo search algorithm
by: Haruna, Chiroma, et al.
Published: (2015)

A review on artificial intelligence methodologies for the forecasting of crude oil price
by: Haruna, Chiroma, et al.
Published: (2016)

Intelligent decision support systems for oil price forecasting
by: Chiroma, Haruna, et al.
Published: (2015)

TCP Skudai: A high performance TCP variant for Collaborative Virtual Environment systems
by: Gital, Abdulsalam Ya’u, et al.
Published: (2016)

Modified neural network activation function
by: Ibrahim, Adamu Abubakar, et al.
Published: (2014)

Advances in teaching and learning on facebook in higher institutions
by: Haruna, Chiroma, et al.
Published: (2017)

Throughput analysis of TCP congestion control algorithms in a cloud based collaborative virtual environment
by: Ya'u Gital, Abdulsalam, et al.
Published: (2014)

An intermediate significant bit (ISB) watermarking technique using neural networks
by: Zeki, Akram M., et al.
Published: (2016)

Optimizing three-dimensional (3D) map view on mobile devices as navigation aids using artificial neural network
by: Abubakar, Adamu, et al.
Published: (2013)

3D mobile map visualization concept for remote rendered dataset
by: Abubakar, Adamu, et al.
Published: (2013)

Investigating digital watermark dynamics on carrier file by feed-forward neural network
by: Zeki, Akram M., et al.
Published: (2013)

A framework for selecting the optimal technique suitable for application in a data mining task
by: Chiroma, Haruna, et al.
Published: (2013)

Text normalization algorithm for facebook chats in Hausa language
by: Jaafar, Zubairu Maitama, et al.
Published: (2014)

Estimation of Middle-East oil consumption using hybrid meta-heuristic algorithms
by: Haruna, Chiroma, et al.
Published: (2019)

Cryptanalytic attacks on Rivest, Shamir, and Adleman (RSA) cryptosystem: issues and challenges
by: Abubakar, Adamu, et al.
Published: (2014)

A framework of modified adaptive neuro-fuzzy inference engine
by: Hossen, Md. Jakir
Published: (2012)

Investigating rendering speed and download rate of three-dimension (3D) mobile map intended for navigation aid using genetic algorithm
by: Abubakar, Adamu, et al.
Published: (2014)

Utilising key climate element variability for the prediction of future climate change using a support vector machine model
by: Abubakar, Adamu, et al.
Published: (2016)

Rainfall-runoff modelling using adaptive neuro-fuzzy inference system
by: Nurul Najihah, Che Razali, et al.
Published: (2020)

Reference evapotranspiration estimation using adaptive neuro-fuzzy inference system
by: Karimaldini, Fatemeh
Published: (2011)

Nature inspired meta-heuristic algorithms for deep learning: recent progress and novel perspective
by: Abubakar, Adamu, et al.
Published: (2019)

An evaluation of the potential of adaptive neuro-fuzzy inference system in hydrological modelling and prediction
by: Ngahzaifa, Ab. Ghani
Published: (2012)

Prediction of maximum in-cylinder pressure by adaptive neuro-fuzzy inference system method
by: Jaliliantabar, Farzad, et al.
Published: (2020)

Electricity consumption forecasting using Adaptive Neuro-Fuzzy Inference System (ANFIS)
by: K.G., Tay, et al.
Published: (2019)