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Each model architecture is estimated k = 20 times, and because there are eight different neural network-based model architecture to be estimated in the study, the total number of estimated models is 160; whereas, the selected 8 models (based on the lowest MSE error criteria) will be reported in the study.
The detailed model architecture is illustrated in Figure 3.
An overview of the model architecture is depicted in Figure 2. The first component comprises initial feedforward processing.
Our model architecture is inspired by biological mechanisms and is based on neural representations of early visual cortex.
The model architecture is flexible permitting updates as new data become available.
A graphical overview of our model architecture is depicted in Fig. 1.
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Training of the environment identification model architecture was almost the same as for the DAEs.
The basic model architecture was optimized in term of training algorithms and number of neurons in the hidden layer of the model.
Key design principles such as layering, abstraction, the concept of security domains, and the ring model architecture are discussed.
These models exploit the Takagi Sugeno fuzzy model architecture, being able to model flexibly different degrees of non-linearities implicitly contained in the mapping between near infrared spectra (NIR) and reference values.
Because gene gain in mitochondrial genome is rare, a pure-loss model architecture was assumed and the prior distribution at the root was assumed to be Poisson.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com