Abstract
This chapter deals with the determination of the rate of convergence to the unit of some neural network operators, namely, “the normalized bell and squashing type operators”.
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References
G.A. Anastassiou, Rate of convergence of some neural network operators to the unit-univariate case. J. Math. Anal. Appl. 212, 237–262 (1997)
G.A. Anastassiou, Rate of convergence of some neural network operators to the unit-univariate case, revisited. Mat. Vesnik 65(4), 511–518 (2013)
P. Cardaliaguet, G. Euvrard, Approximation of a function and its derivative with a neural network. Neural Netw. 5, 207–220 (1992)
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Anastassiou, G.A. (2016). Rate of Convergence of Basic Neural Network Operators to the Unit-Univariate Case. In: Intelligent Systems II: Complete Approximation by Neural Network Operators. Studies in Computational Intelligence, vol 608. Springer, Cham. https://doi.org/10.1007/978-3-319-20505-2_1
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DOI: https://doi.org/10.1007/978-3-319-20505-2_1
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