Weight Perturbation: An Optimal Architecture and Learning Technique for Analog VLSI Feedforward and Recurrent Multilayer Networks

Cite

Text

Jabri and Flower. "Weight Perturbation: An Optimal Architecture and Learning Technique for Analog VLSI Feedforward and Recurrent Multilayer Networks." Neural Computation, 1991. doi:10.1162/NECO.1991.3.4.546

Markdown

[Jabri and Flower. "Weight Perturbation: An Optimal Architecture and Learning Technique for Analog VLSI Feedforward and Recurrent Multilayer Networks." Neural Computation, 1991.](https://mlanthology.org/neco/1991/jabri1991neco-weight/) doi:10.1162/NECO.1991.3.4.546

BibTeX

@article{jabri1991neco-weight,
  title     = {{Weight Perturbation: An Optimal Architecture and Learning Technique for Analog VLSI Feedforward and Recurrent Multilayer Networks}},
  author    = {Jabri, Marwan A. and Flower, Barry},
  journal   = {Neural Computation},
  year      = {1991},
  pages     = {546-565},
  doi       = {10.1162/NECO.1991.3.4.546},
  volume    = {3},
  url       = {https://mlanthology.org/neco/1991/jabri1991neco-weight/}
}