Polymer Property Prediction and Optimization using Neural Networks

Prediction and optimization of polymer properties is a complex and highly nonlinear problem with no easy method to predict polymer properties directly and accurately. The problem is especially complicated with high molecular weight polymers such as engineering plastics which have the greatest use in...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2006-07, Vol.17 (4), p.1001-1014
Hauptverfasser:	Roy, Nilay K., Potter, Walter D., Landau, David P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Affinity Applied sciences Artificial intelligence Back propagation networks backpropagation Computer science control theory systems Connectionism. Neural networks Exact sciences and technology Forecasting glass-transition initial weights learning rate main chain and side chains modulus Molecular weight momentum Monomers Networks Neural networks Neural Networks, Computer Optimization pendant groups Plastics polymerization Polymers potentials self-associating Stability analysis steric factors Surface Properties Training
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