1. F. Albertini, E.D. Sontag, and V. Maillot. Uniqueness of weights for neural networks. In R. Mammone, editor, Artificial Neural Networks for Speech and Vision, pages 115-125. Chapman and Hall, London, 1993. [PDF] Keyword(s): machine learning, neural networks, recurrent neural networks. Abstract:

   In this short expository survey, we sketch various known facts about uniqueness of weights in neural networks, including results about recurrent nets, and we provide a new and elementary complex-variable proof of a uniqueness result that applies in the single hidden layer case.

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