Basin Sculpting a Hybrid Recurrent Feedforward Neural Network

Michael J. Brabel · 1998

Abstract : The architecture of a recurrent neural-network-based content-addressable memory is detailed along with companion training algorithm. The memory is designed to store vectors composed of strings of the integers 1 through 9. The performance characteristics of the model-memory capacity and basin size-are presented.

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