Disaggregation–aggregation based model reduction for refinery-wide optimization
Tài liệu tham khảo
Baum, 1989, What size net gives valid generalization, Neural Computation, 1, 151, 10.1162/neco.1989.1.1.151
Brooke, 1998
Cun, 1990
Denker, 1987, Large automatic learning, rule extraction and generalization, Complex Systems, 1, 877
Dua, 2004, Global optimization issues in multiparametric continuous and mixed-integer optimization problems, Journal of Global Optimization, 30, 59, 10.1023/B:JOGO.0000049091.73047.7e
Dua, 2010, A mixed-integer programming approach for optimal configuration of artificial neural networks, Chemical Engineering Research and Design, 88, 55, 10.1016/j.cherd.2009.06.007
Gary, 1994
2008, Vol. 5
Gueddar, T., Dua, V. Novel model reduction techniques for refinery-wide energy optimization. Applied Energy, submitted for publication.
Hancsok, 2002, Hydrotreating of full range FCC Gasoline, Hungarian Journal of Industrial Chemistry Veszprem, 30, 299
Hasibi, 1993, Second order derivatives for network pruning: Optimal brain surgeon, Neural Information Processing Systems, 92
Himmelblau, 2008, Accounts of experiences in the application of artificial neural networks in chemical engineering, Industrial & Engineering Chemistry Research, 27, 5782, 10.1021/ie800076s
Hornik, 1989, Multilayer feedforward networks are universal approximators, Neural Networks, 2, 359, 10.1016/0893-6080(89)90020-8
Hussain, 2000, Implementation of inverse-model-based control strategy using neural networks on a partially simulated exothermic reactor, Transactions of the Institution of Chemical Engineers, 78, 299, 10.1205/026387600527167
Hussain, 2002, Vol. 5
Jia, 2003, Refinery short-term scheduling using continuous time formulation: Crude-oil operations, Industrial and Engineering Chemistry Research, 42, 3085, 10.1021/ie020124f
Jou, 1994, Analysis of hidden nodes for multi-layer perceptron neural networks, Pattern Recognition, 27, 859, 10.1016/0031-3203(94)90170-8
Karuppiah, 2008, Global optimization for scheduling refinery crude oil operations, Computer and Chemical Engineering, 32, 2745, 10.1016/j.compchemeng.2007.11.008
KBC Advance Technologies, (n.d.), LP modeling: Past, present and future. [pdf] Available at: http://www.kbcat.com/default/documents/technical%20papers/tp_002.pdf.
Kim, 1996, UNIK-OPT/NN: Neural network based adaptive optimal controller on the optimization models, Decision Support Systems, 18, 43, 10.1016/0167-9236(96)00017-6
Kim, 1995, The geometrical learning of binary neural networks, IEEE Transactions of Neural Networks, 6, 237, 10.1109/72.363432
Kosmidis, 2005, A mixed integer optimization formulation for the well scheduling problem on petroleum fields, Computer and Chemical Engineering, 29, 1523, 10.1016/j.compchemeng.2004.12.003
LeCun, 1989, Generalization and network design strategies
Lee, 1996, Mixed-integer linear programming model for refinery short-term scheduling of crude oil unloading with inventory management, Industrial and Engineering Chemistry Research, 35, 1630, 10.1021/ie950519h
Li, 2005, Integrating CDU, FCC and product blending models into refinery planning, Computers and Chemical Engineering, 29, 2010, 10.1016/j.compchemeng.2005.05.010
Mendez, 2006, A simultaneous optimization approach for off-line blending and scheduling of oil-refinery operations, Computer and Chemical Engineering, 30, 614, 10.1016/j.compchemeng.2005.11.004
Moro, 2004, Mixed-integer programming approach for short-term crude oil scheduling, Industrial and Engineering Chemistry Research, 43, 85, 10.1021/ie030348d
Mouret, 2009, A novel priority-slot based continuous-time formulation for crude-oil scheduling problems, Industrial and Engineering Chemistry Research, 48, 8515, 10.1021/ie8019592
Mouret, 2010, Time representations and mathematical models for process scheduling problems, Computers and Chemical Engineering
Papalexandri, 1998, Heat integration aspects in crude preheats refinery section, Computers and Chemical Engineering, 22, 141, 10.1016/S0098-1354(98)00048-9
Platts (2011). Methodology and specification guide: Petroleum products & gas and liquids report. [pdf] Available at: http://www.platts.com/IM. Platts.Content/methodologyreferences/methodologyspecs/usoilproductspecs.pdf.
Prasad, 2003, Non-linear system identification and model reduction using artificial neural networks, Computers and Chemical Engineering, 27, 1741, 10.1016/S0098-1354(03)00137-6
Slaback, 2007, The inside-out approach to refinery-wide optimization, Industrial and Engineering Chemistry, 46, 4645, 10.1021/ie0608814
Venkatasubramanian, 1989, A neural network methodology for process fault diagnosis, AIChE Journal, 35, 1993, 10.1002/aic.690351210
Xu, 2001, Monte Carlo cross validation, Chemometrics and Intelligent Laboratory Systems, 56, 1, 10.1016/S0169-7439(00)00122-2