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VLSI Technologies for Artificial Neural Networks
November/December 1989 (vol. 9 no. 6)
pp. 28-44

VLSI systems, basic integrated circuits, and silicon technologies are discussed. Novel circuit and design principles that provide a foundation for the implementation of a wide variety of neural network models in silicon are described. The key issues for a successful integration of neural systems are identified. The realization of algorithms in silicon is examined. Special-purpose hardware for carrying out the activation and transfer function and for the connection elements is discussed. A brief overview of the current silicon technologies is provided.

Citation:
Karl Goser, Ulrich Hilleringmann, Ulrich Rueckert, Klaus Schumacher, "VLSI Technologies for Artificial Neural Networks," IEEE Micro, vol. 9, no. 6, pp. 28-44, Nov.-Dec. 1989, doi:10.1109/40.42985
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