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Exact(43)
The dimension of the input vector is determined by using the false nearest neighbor approach.
However, the size, or embedding dimension, of the input space was kept constant.
Moreover, sensitivity analysis techniques are performed upstream to determine the hierarchization of the model parameters and to reduce the dimension of the input space.
Thus, the dimension of the input space is 441.
This would have possibly reduced the dimension of the input matrix.
Fig. 9 Visual representation of the RDN AD across two projected dimension of the input set of molecular descriptors.
Similar(17)
where is the th eigenvector of the correlation matrix (of dimensions ) of the input signal.
where is the vector provided by (10) and is the correlation matrix (of dimensions ) of the input signal.
The dimensions of the input data and output are 39 (the dimensions of MFCC per frame) * 9 (the number of segments to supply at the same time) = 351.
We use a pool size of (2 times 2), which halves both dimensions of the input field for our next layer.
In addition to choosing an appropriate number of hidden nodes, selecting the number of lagged observations, p, and dimensions of the input vector is an important task in the ANN modeling of a time series.
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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