Up a level |
Fatai Adesina, Anifowose and Jane, Labadin and Abdulazeez, Abdulraheem (2017) Hybrid intelligent systems in petroleum reservoir characterization and modeling: the journey so far and the challenges ahead. Journal of Petroleum Exploration and Production Technology, 7 (1). pp. 251-263. ISSN 2190-0558
Fatai Adesina, Anifowose and Jane, Labadin and Abdulazeez, Abdulraheem (2015) Ensemble model of non-linear feature selection-based Extreme Learning Machine for improved natural gas reservoir characterization. Journal of Natural Gas Science and Engineering, 2015. pp. 1-12. ISSN 1875-5100
Fatai Adesina, Anifowose and Jane, Labadin and Abdulazeez, Abdulraheem (2015) Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines. Applied Soft Computing Journal, 26. pp. 483-496. ISSN 1568-4946
Fatai, Anifowose and Jane, Labadin and Abdulazeez, Abdulraheem (2013) Ensemble learning model for petroleum reservoir characterization: A case of feed-forward back-propagation neural networks. In: Pacific-Asia Conference on Knowledge Discovery and Data Mining, April 14-17, 2013, Gold Coast, QLD, Australia.
Fatai Adesina, Anifowose and Jane, Labadin and Abdulazeez, Abdulraheem (2013) Predicting Petroleum Reservoir Properties from Downhole Sensor Data using an Ensemble Model of Neural Networks. In: Proceedings of Workshop on Machine Learning for Sensory Data Analysis.
Fatai Adesina, Anifowose and Jane, Labadin and Abdulazeez, Abdulraheem (2013) A least-square-driven functional networks type-2 fuzzy logic hybrid model for efficient petroleum reservoir properties prediction. Neural Computing and Applications, 23 (1). pp. 179-190. ISSN 1433-3058
Fatai Adesina, Anifowose and Jane, Labadin and Abdulazeez, Abdulraheem (2011) A Hybrid of Functional Networks and Support Vector Machine Models for the Prediction of Petroleum Reservoir Properties. In: 11th International Conference on Hybrid Intelligent Systems (HIS), 2011, 5-8 Dec. 2011, Melacca.