Popoola, L.T., Babagana, G. and Susu, A.A. (2013) A Review of an Expert System Design for Crude Oil Distillation Column Using the Neural Networks Model and Process Optimization and Control Using Genetic Algorithm Framework. Advances in Chemical Engineering and Science, 3, 164-170.
 Rumelhart, D.E., Hinton, G.E.and Williams, R.J. (1986) Learning Internal Representation by Error Propagation. In: Parallel Distributed Processing: Exploration in the Microstructure of Cognition, MIT Press, Cambridge, 1, 318-361.
 Khu, S.T. and Werner, M.G.F. (2003) Reduction of Monte-Carlo Simulation Runs for Uncertainty Estimation in Hydrological Modelling. Hydrology and Earth System Sciences, 7, 680-692.
 Kuo, R.J., Liao, J.L. and Tu, C. (2005) Integration of ART2 Neural Network and Genetic K-means Algorithm for Analyzing Web Browsing Paths in Electronic Commerce. Decision Support Systems, 40, 355-374.
 Jia, Y.X. and Guo, X.Y. (2006) Monte Carlo Simulation of Methanol Diffusion in Critical Media. Chinese Journal of Chemical Engineering, 14, 413-418.
 Yeh, W.C., Yu, C.Y. and Lin, C.H. (2007) Evaluate Voting System Reliability using the Monte Carlo Simulation and Artificial Neural Network. 2nd International Conference on Wireless Broadband and Ultra Wideband Communications, Sydney, 27-30 August 2007, 45-49. http://dx.doi.org/10.1109/AUSWIRELESS.2007.32
 Pang, Z., Liu, D., Jin, N. and Wang, Z. (2008) A Monte Carlo Particle Model Associated with Neural Networks for Tracking Problem. IEEE Transactions on Circuits and Systems I: Regular Papers, 55, 3421-3429.
 Oscar, T.P. (2009) General Regression Neural Network and Monte Carlo Simulation Model for Survival and Growth of Salmonella on Raw Chicken Skin as a Function of Serotype, Temperature and Time for Use in Risk Assessment. Journal of Food Protection, 72, 2078-2087.
 Safdari, M. and Shamsoddini, M. (2012) Using Artificial Neural Networks and Monte Carlo Simulation in Terms of Uncertainty for Prediction of Budget Deficit in Iran. Interdisciplinary Journal of Contemporary Research in Business, 4, 132-139.
 Motlaghi, S., Jalali, F. and Ahmadabadi, M.N. (2008) An Expert System Design for a Crude Oil Distillation Column with the Neural Networks Model and the Process Optimization using Genetic Algorithm Framework. Expert Systems with Applications, 35, 1540-1545.
 Tonnang, Z.E.H. (2010) Distillation Column Control Using Artificial Neural Networks. M. Sc Thesis, Microprocessors and Control Engineering, Department of Electrical and Electronics Engineering, Faculty of Technology, University of Ibadan, Ibadan.
 Popoola, L.T., Babagana, G. and Susu, A.A. (2013) Expert System Design and Control of Crude Oil Distillation Column of a Nigerian Refinery using Artificial Neural Network Model. International Journal of Research and Reviews in Applied Sciences, 15, 337-346.
 Miller, W. and Osborne, H.G. (1938) History and Development of Some Important Phases of Petroleum Refining in the United States. The Science of Petroleum, Oxford University Press, London, 1465-1477.
 Liebmann, K., Dhole, V.R. and Jobson, M. (1998) Integrated Design of a Conventional Crude Oil Distillation Tower Using Pinch Analysis. Chemical Engineering Research and Design, 76, 335-347.
 Beer, M. and Spanos, P.D. (2005) Neural Network Based Monte Carlo Simulation of Random Processes. Proceedings of the 9th International Conference on Structural Safety and Reliability (ICOSSAR 2005), Millpress, Rotterdam, 9-16.