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Neurons in the hidden layer are linked to those in the input and output layers by connections of various strengths (known in the jargon as "weights").
Ranks of input and output layers are not shown.
Hidden layers connect the input and output layers.
ANN network consist ofthree layers: input, hidden, and output layers.
The model contained input, hidden and output layers.
Table 2 Data types and its sources for creation of output layers Sl.
A multi-layer ANN with sigmoid axon transfer function was used for input and output layers.
The neurons are connected to the external environment through the input and output layers.
The transfer function was the logarithmic sigmoid for both hidden and output layers [35].
The log-sigmoid function was used as the activation function of the hidden and output layers.
The hidden and output layers are as in conventional MLP networks [20].
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