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In addition, the volume of data which are fed to train and validate parallel BPNNs in this study is shown in Table 5 according to (9).
A neuro wavelet ID technique is developed in [101] in which the transient voltage signals have first been analyzed by DWT to extract feature vectors and then fed to train an ANN.
The protein sequence feature vectors are fed to train each SLFN separately.
The features extracted from each epoch are then fed to train one SVM classifier.
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These features are then fed to trained WNNs.
After training, the mode shape displacements at 15% damage are fed to the trained SVM, and the output (Damage intensitypredicted) is compared to the value 15 (Damage intensityactual).
Then, they are fed to the trained ANN for classifying them.
Then, according to the final feature vector, the selected features values are fed to the trained ANN for classifying them.
After retrieval of position and access-order information, the complete ligature's primary as well as secondary ligatures are individually fed to the trained HMM classifiers.
Fig. 3 illustrates the quantification on the data volume of input instances fed to BPNN training for predicting CUGs.
User-data is also fed in to train Microsoft's Cortana digital assistant — which the company brought to desktop users with the launch of Windows 10.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com