1 |
H. Exton, q-Hypergeometric Functions and Applications, New York: Halstead Press, Chichester: Ellis Horwood, 1983.
|
2 |
J. Han, C. Moraga, The influence of the sigmoid function parameters on the speed of backpropagation learning, International Workshop on Artificial Neural Networks doi: https://doi.org/10.1007/3-540-59497-3175.
|
3 |
J. Han, R.S. Wilson, S.E. Leurgans, Sigmoidal mixed models for longitudinal data, Statistical Methods in Medical Research doi: https://doi.org/10.1177/0962280216645632.
|
4 |
Y. Ito, Representation of functions by superpositions of a step or sigmoid function and their applications to neural network theory, Neural Networks 4 (1991), 385-394.
DOI
|
5 |
H.K. Kwan, Simple sigmoid-like activation function suitable for digital hardware implementation, Electronics Letters 28 (1992), doi: 10.1049/el:19920877
DOI
|
6 |
H.F. Jackson, q-Difference equations, Am. J. Math. 32 (1910), 305-314.
DOI
|
7 |
V. Kac, P. Cheung, Quantum Calculus, Universitext, Springer-Verlag, 2002.
|
8 |
T. Kim, C.S. Ryoo, Some identities for Euler and Bernoulli polynomials and their zeros, Axioms 7 (2018), 1-19.
DOI
|
9 |
J.Y. Kang, C.S. Ryoo, Various structures of the roots and explicit properties of q-cosine Bernoulli Polynomials and q-sine Bernoulli Polynomials, Mathematics 8 (2020), 1-18.
DOI
|
10 |
J.Y. Kang, Some relationships between sigmoid polynomials and other polynomials, J. Appl. & Pure Math. 1 (2019), 57-67.
|
11 |
J.Y. Kang, Some Properties and Distribution of the Zeros of the q-Sigmoid Polynomials, Discrete Dynamics in Nature and Society 2020 (2020), 1-10.
|