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Stancu-Type Generalizations of Neural Network Operators with Perturbed Sampling Nodes
In this paper, we introduce a Stancu-type generalization of multivariate neural network operators (NNOs) by incorporating two parameters that perturb the sampling nodes. The proposed operators extend the existing NNOs by allowing flexibility in the placement of sampling nodes. We establish the well-
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