VLSI neural network with digital weights and analog multipliers

  title={VLSI neural network with digital weights and analog multipliers},
  author={Vincent F. Koosh and Rodney M. Goodman},
A VLSI feedforward neural network is presented that makes use of digital weights and analog multipliers. The network is trained in a chip-in-loop fashion with a host computer implementing the training algorithm. The chip uses a serial digital weight bus implemented by a long shift register to input the weights. The inputs and outputs of the network are provided directly at pins on the chip. The training algorithm used is a parallel weight perturbation technique[1]. Training results are shown… CONTINUE READING
Highly Cited
This paper has 25 citations. REVIEW CITATIONS
14 Extracted Citations
10 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 14 extracted citations

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 10 references

A Hybrid Analog and Digital VLSI Neural Network for Intracardiac Morphology Classification

  • R. Coggins, M. Jabri, B. Flower, S. Pickard
  • IEEE J. of Solid-State Circuits,
  • 1995
Highly Influential
4 Excerpts

A Single- Transistor

  • C. Diorio, P. Hasler, B. A. Minch, C. A. Mead
  • Silicon Synapse”,IEEE Tran. on Electron Devices,
  • 1996
1 Excerpt

Similar Papers

Loading similar papers…