Here, we introduce three kinds of neural network operators of convolution type which are activated by q-deformed and \b{eta}-parametrized half hyperbolic tangent function. We obtain quantitative convergence results to the identity operator with the use of modulus of continuity. Global smoothness preservation of our operators are also presented and the iterated versions of them are taken into the consideration.

翻译：本文引入了三种由q变形和β参数化半双曲正切函数激活的卷积型神经网络算子。利用连续模，我们获得了这些算子向恒等算子的定量收敛结果。同时给出了算子整体光滑性保持性质的证明，并对其迭代版本进行了深入探讨。