Molecular weight prediction in polystyrene blends. Unprecedented use of a genetic algorithm in pulse field gradient spin echo (PGSE) NMR.
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DOI: 10.1039/c7sm01569k
Abstract: A genetic algorithm that uses boxcar functions (diffGA) has been applied for the first time in PGSE NMR. It reconstructs accurate diffusion coefficients for all the components of the mixture, and therefore predicts correct weight-average… read more here.
Keywords: algorithm; genetic algorithm; weight prediction; molecular weight ... See more keywords
Decoupled neural network training with re-computation and weight prediction
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DOI: 10.1371/journal.pone.0276427
Abstract: To break the three lockings during backpropagation (BP) process for neural network training, multiple decoupled learning methods have been investigated recently. These methods either lead to significant drop in accuracy performance or suffer from dramatic… read more here.
Keywords: computation; neural network; weight prediction; network training ... See more keywords
Examining Supervised Machine Learning Methods for Integer Link Weight Prediction Using Node Metadata
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DOI: 10.3390/e24060842
Abstract: With the goal of understanding if the information contained in node metadata can help in the task of link weight prediction, we investigate herein whether incorporating it as a similarity feature (referred to as metadata… read more here.
Keywords: supervised machine; weight prediction; machine learning; link weight ... See more keywords