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Experimental data have been employed to train ANN.
MFCC-based features, for instance, have been employed to train HMMs [17].
A minimum number of data points from binary and ternary solvents have been employed to train the ANN and solubility at other solvent compositions has been predicted.
Similar(57)
The Levenberg Marquardt (LM) learning algorithm was employed to train the model by using laboratory experimental data, and the trained network was tested by a single set separated from the rest of the data and a good correlation between the experimental and predicted results has been obtained.
The Bayesian Regularization (BR) training method with full sampling was employed to train the network.
Finally, the feature vectors and desired targets are employed to train a TNFN using DMELA.
Then, the TLBO is employed to train the initialized fuzzy model.
Finally, The SOTM clustering and fuzzy labeling is employed to train and classify the signals.
Furthermore, the error back-propagation algorithm is employed to train the designed ANN.
These clusters are employed to train a separate HMM for each ligature class.
Expectation maximization (EM) principle is employed to train our proposed mSVDD.
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been employed to treat
been employed to promote
been employed to correlate
been employed to distinguish
been employed to confirm
been employed to prepare
been employed to verify
been employed to reveal
been employed to analyse
been employed to measure
been employed to enhance
been employed to modify
been employed to describe
been employed to discover
been employed to develop
been employed to evaluate
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com