2013
DOI: 10.3724/sp.j.1087.2013.00766
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Unipolar Sigmoid neural network classifier based on weights and structure determination method

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Cited by 3 publications
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“…This paper improves the traditional BP neural network model (Zhang et al 2012) as follows. The selection of the initial weight has a considerable influence on the model, and the appropriate initial weight accelerates its convergence speed.…”
Section: Modelmentioning
confidence: 99%
“…This paper improves the traditional BP neural network model (Zhang et al 2012) as follows. The selection of the initial weight has a considerable influence on the model, and the appropriate initial weight accelerates its convergence speed.…”
Section: Modelmentioning
confidence: 99%
“…Among them, σ(x) = 1/(1 + exp(−x)) is called the Sigmoid function [13], which is a nonlinear activation function commonly used in machine learning, which can map a real value to the interval 0-1 to describe how much information passes through. When the output value of the gate is 0, it means that no information passes through, and when the value is 1, it means that all information can pass through.…”
Section: Introduction To Bi-lstmmentioning
confidence: 99%