The new approximation operators with sigmoidal functions
The aim of this paper is to investigate approximation operators with logarithmic sigmoidal function of a class of two neural networks weights and a class of quasi-interpolation operators. Using these operators as approximation tools, the upper bounds of estimate errors are estimated for approximating continuous functions.
approximation sigmoidal function two neural networks weights quasi-interpolation estimate of error 41a20 41a25