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The weighed sum of the inputs constitutes the activation of the neuron.
where a k and a j are the weighted sum of the inputs to the output and hidden layers, respectively.
The weighted sum of the inputs is transferred to the hidden nodes, where it is transformed using a transfer function [34].
The input data is sent to the input layer neurons and then fetched to the hidden neurons which in turn compute a weighted sum of the inputs and fetch this to the output layer through an activation function.
Whereas the tangent sigmoid function (TANSIG) is defined as (Bustin and Clarkson 1998) f = frac{{e^{{e_{x} }} - e^{{ - e_{x} }} }}{{e^{{e_{x} }} + e^{{ - e_{x} }} }}where e x is the weighted sum of the inputs for a processing unit.
Norman and Stoker [34] suggest that the minimum number of firms that should be considered is 20 or, alternatively, that a general guideline for the minimum number of units making up the sample for evaluation is at least twice the sum of the inputs and outputs.
Similar(48)
where i is the sum of the input patterns.
Γ is thus the weighted sum of the input pixel (i, j) and its neighbours' probabilities.
Moreover, y k (n) is the sum of the input signal filtered by the filterbank, i.e., (88) (88).
Quantum chemical calculations show that despite the equal sum of the input polarizations, the output polarizations are not equal particularly when the sum of the drivers is zero.
The mechanism employs two piezoelectric actuators, with output translation and rotation proportional to the difference and sum of the input displacements.
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