sigmoid function
Economia
Estatística
Matemática
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substantivo
Contexto: "We used the sigmoid function (Eq. (2))
to model the variation in the number of
goals and substitutions in the first half."
Fonte: Sun, R., Wang, C., Qin, Z., & Han, C. (2024). Temporal features of goals, substitutions, and fouls in football games in the five major European league from 2018 to 2021. Heliyon, 10(5).
Fonte: Sun, R., Wang, C., Qin, Z., & Han, C. (2024). Temporal features of goals, substitutions, and fouls in football games in the five major European league from 2018 to 2021. Heliyon, 10(5).
Termo equivalente: Função sigmoide
Definição: "Sigmoid function is the most commonly
known function used in feed forward
neural networks because of its
nonlinearity and the computational
simplicity of its derivative."
Fonte: Han, J., & Moraga, C. (1995, June). The influence of the sigmoid function parameters on the speed of backpropagation learning. In International workshop on artificial neural networks (pp. 195-201). Berlin, Heidelberg: Springer Berlin Heidelberg.
Fonte: Han, J., & Moraga, C. (1995, June). The influence of the sigmoid function parameters on the speed of backpropagation learning. In International workshop on artificial neural networks (pp. 195-201). Berlin, Heidelberg: Springer Berlin Heidelberg.
Definição em português: "A função sigmoide é a função mais comumente conhecida usada em redes neurais de alimentação direta devido à sua não linearidade e à simplicidade computacional de sua derivada."