Assuming that a smoothness condition and a suitable restriction on the structure of the regression function hold, it is shown that least squares estimates based on multilayer feedforward neural ...

The relevance of neural network models for the applied statistician is considered using a time series prediction problem as an example. The multilayer feedforward neural network uses a nonlinear ...

In classical neural networks, feedforward propagation is used to compute the activation values of input data, while backpropagation adjusts weights to minimize the loss function.

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