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Artificial neural networks (ANN) have also been trained to predict AA levels, generally with better results.
LSTMs have been trained to predict CNC machine tool wear from vibration and cutting force data.47 This research indicated that Deep LSTMs outperform basic LSTMs, RNN, MLP and traditional regression models.
Due to its robust and efficient search ability in complex situations, genetic algorithms are employed to search for solutions improving engineering performance with the searching criteria, and fitness function, being the neural networks that have been trained to predict performance for given engineering inputs.
In previous work, we showed that quantitative NNs, which had been trained to predict binding versus non-binding peptides, are superior to the conventional NNs [72].
In the present work, neural network methods have been trained to predict β-turn or not and individual β-turn types from the primary amino acid sequence.
The method β-turn-P (P for position) is a combination of four sub-methods that have been trained to predict if an amino acid is located at position 1, position 2, position 3 or position 4 in a β-turn.
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The first prediction model is trained to predict night time light intensity from source image data.
Then for each cluster, ANN and ANFIS models were trained to predict GL and CC values.
The network was trained to predict the formability index, triaxial stress ratio parameters and axial strain.
Google Now is trained to predict when a person is about to take certain actions and offer help accordingly.
The Kalman filter was trained to predict the arm's velocity and mapped on to the SNN using the Neural Engineering Framework NEFF).
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