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The α lobe is targeted by MBONs from other compartments and comprises the last layer in the layered output model of the MB (Aso et al., 2014).
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PNN consists of four layers: input layer, pattern layer, summation layer and output layer.
It is composed of four nodes or layers: input layer, hidden layer, pattern layer and output layer.
We construct LCN by input layer, local layer, feature layer and output layer.
The main three set of layers include input layer, hidden layers, and output layer.
The BP neural network is composed of input layer, hidden layer and output layer.
BP algorithm consists of an input layer, hidden layer, and output layer, as shown in Fig. 5.
An MLP consists of three layers: an input layer, an output layer, and an intermediate or hidden layer.
We then explore the changes in the wages and number of employees that accompany expansions in layers, output, or markets (by becoming exporters).
The hidden layer output is computed using Tanh function [2].
Typically these layers are categorized as input layer, output layer and hidden layers.
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