Special-purpose digital hardware for neural networks: An architectural survey

Author:

Ienne Paolo,Cornu Thierry,Kuhn Gary

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Information Systems,Signal Processing

Reference59 articles.

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2. C.S. Lindsey and T. Lindblad, “Review of hardware neural networks: A user's perspective,” inProceedings of the Third Workshop on Neural Networks: From Biology to High Energy Physics, Isola d'Elba, Italy, Sept. 1993.

3. A. König, ‘Survey and current status of neural network hard-ware,” inProceedings of the International Conference on Artificial Neural Networks, F. Fogelman-Soulie and P. Gallinari, (Eds.), Paris, Oct. 1995, pp. 391–410.

4. S. Oteki, A. Hashimoto, T. Furuta, T. Watanabe, D.G. Stork, and H. Eguchi, “A digital neural network VLSI with on-chip learning using stochastic pulse encoding,” inProceedings of the International Joint Conference on Neural Networks, Nagoya, Japan, Oct. 1993, Vol. III, pp. 3039–45.

5. N. Mauduit, M. Duranton, J. Gobert, and J.-A. Sirat, “Lneuro 1.0: A piece of hardware LEGO for building neural network systems,”IEEE Transactions on Neural Networks, Vol. NN-3, No. 3, pp. 414–22, May 1992.

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