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Adaptive genetic programming for steady-state process modeling
Grosman B, Lewin DR
Computers & Chemical Engineering, 28(12), 2779, 2004 |
| 222 |
Pertraction of citric acid by means of emulsion liquid membranes
Yordanov B, Boyadzhiev L
Journal of Membrane Science, 238(1-2), 191, 2004 |
| 223 |
Computation of heating stations in the Powder-Slush Process
Steffan RH
Kautschuk Gummi Kunststoffe, 57(9), 437, 2004 |
| 224 |
Using hybrid neural networks in scaling up an FCC model from a pilot plant to an industrial unit
Bollas GM, Papadokonstadakis S, Michalopoulos J, Arampatzis G, Lappas AA, Vasalos IA, Lygeros A
Chemical Engineering and Processing, 42(8-9), 697, 2003 |
| 225 |
Concept of bifunctional Redox iron-chelate process for H2S removal in pulp and paper atmospheric emissions
Iliuta I, Larachi F
Chemical Engineering Science, 58(23-24), 5305, 2003 |
| 226 |
Dynamic neural networks partial least squares (DNNPLS) identification of multivariable processes
Adebiyi OA, Corripio AB
Computers & Chemical Engineering, 27(2), 143, 2003 |
| 227 |
A mathematical model for an expanding foam
Schwartz LW, Roy RV
Journal of Colloid and Interface Science, 264(1), 237, 2003 |
| 228 |
Chemical Reaction Engineering in the Chemical Processing of Metals and Inorganic Materials Part II. Chemical Process Modeling and Simulation
Sohn HY
Korean Journal of Chemical Engineering, 20(3), 415, 2003 |
| 229 |
Hybrid model building methodology using unsupervised fuzzy clustering and supervised neural networkd
Ronen M, Shabtai Y, Guterman H
Biotechnology and Bioengineering, 77(4), 420, 2002 |
| 230 |
Metamodeling approach to optimization of steady-state flowsheet simulations - Model generation
Palmer K, Realff M
Chemical Engineering Research & Design, 80(7), 760, 2002 |
