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The DNN takes 15 frames of MFCC as input, hence the input layer dimension is 15×39=585.
In addition to traditional ANNs, the EFS technique provides (1) numerous linear/nonlinear attribute operators, (2) a built-in feature selection scheme, and (3) dynamic output (layer) dimension.
The layer dimension, and thus the minimum cell dimension, can be controlled by the user through the global volume mesh size control.
For further comparison, note that in the SLP topology the output layer dimension is fixed, whereas in the EFS the output dimension is (as mentioned) optimized within the set range.
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The cake layer dimensions and permeability are explicitly taken into account.
The observed layers are shown in Figure 2. The layer dimensions were seen to be approximately 900 × 300-μm area.
The total model consists of 57 layers and about 1,445,000 finite elements (Figure 5). Figure 5 Model meshing and layer dimensions of the 3D finite element mesh.
To investigate the influence of the SiO2 layer dimensions on the modulation performance, ER and ΔER as a function of SiO2 layer have been discussed, as shown in Fig. 4.
Geometrical parameters include the cantilever platform and piezoresistor shape (including constituent layer dimensions) and are governed by desired electrical sensitivity and mechanical stability of the sensor from external vibrational noises.
An analysis of these responses indicate that when an incident stress pulse passes through a layered structure, a reduced stress amplitude and elongated pulse duration could be obtained with proper selection of materials and layer dimensions.
Spin coating can also be used as a technique for generating 1D periodic polymer (and polymer-nanoparticle) structures by sequential deposition from orthogonal solvents or sequential underlayer-crosslinking with layer dimensions selected by choice of the solution concentration and spin parameters.
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