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The BP neural network selects the sign polarity sigmoid function (hyperbolic tangent function) as activation function, formula is as follows: f(x)=frac{1}{1+{e}^{-x}}.
The concern of employing pure linear function as activation function is that we want one output neuron for slot(s) state prediction having value in the range from {−1 to 1} and the other one for idle time slot(s) prediction in the range from {1 to 5}.
It has been reported that the middle region of ARFs function as activation or repression domains [ 35].
First, most members of the scramblase and tubby family possess an N-terminal stretch of 100 250 natively unfolded residues that might function as activation domains or protein protein interaction domains.
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The neurons in these networks can use both sigmoidal functions and radial basis functions (RBF) as activation functions.
The blood compatibility of PU (polyether-based polyol -MWNT compolyol -MWNT reported as promising than pure PU composites with the MWNT significalsoy impreportede asticoagulant function as well as the promising acthantion (Meng et al. 2005).
Nonlinearity is achieved by passing the linear sum through non-linear functions known as activation functions.
Based on analysis of the experimental thrust data, linear function is used as activation function of the neurons.
In this paper, we investigate a novel delayed chaotic neural model, in which a non-monotonously increasing transfer function is employed as activation function.
Here, the logistic function was used as activation function for each of the three layers.
The logistic function was used as activation function for all the three layers and the training was carried out for 1000 cycles.
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