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A feed-forward ANN with standard back propagation (BP) learning algorithm was adopted for problem modeling with varying number of neurons in the hidden layer.
In 2009, Mohamed et al. tried using pre-trained, deep neural networks as part of a hybrid monophone DNN HMM model on TIMIT, a small-scale speech task [37], and in 2012, Mohamed et al. were the first to succeed in pre-trained DNN HMMs on acoustic modeling with varying depths of networks [38, 39].
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Braided composites have been modeled with varying degrees of success for a number of years.
However, their nonlinear, inelastic, and rate-dependent constitutive behavior is not fully understood and modeled with varying degrees of success.
The car can be modelled with varying levels of details.
Upper, middle and lower shoreface of the Shallow Marine Facies Associations was found in the model with varying degree of thickness and width in different layers within the modeled grid.
A spatial lattice model with varying r.
Free and constrained physical models with varying mast height and centre of gravity were tested.
Instead, a model with varying elastic thickness better reconciles the bathyal foredeep and the relatively long wavelength deflection observed in the Magallanes-Austral case.
Based on this framework, four size-discrete non-linear models with varying complexity have been derived.
Every physical phenomenon can be described by multiple models with varying degrees of fidelity.
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