Backpropagation through structure (BPTS) is a gradient-based technique for training

recursive neural network A recursive neural network is a kind of deep neural network created by applying the same set of weights recursively over a structured input, to produce a structured prediction over variable-size input structures, or a scalar prediction on it, by ...

s, proposed in a 1996 paper written by Christoph Goller and Andreas Küchler.

References

Artificial neural networks {{compu-ai-stub