Arithmetic Perceptrons

Abstract

A feedforward layered neural network (perceptron) with one hidden layer, which adds two N-bit binary numbers is constructed. The set of synaptic strengths and thresholds is obtained exactly for different architectures of the network and for arbitrary N. These structures can be easily generalized to perform more complicated arithmetic operations (like subtraction).

Cite

Text

Cannas. "Arithmetic Perceptrons." Neural Computation, 1995. doi:10.1162/NECO.1995.7.1.173

Markdown

[Cannas. "Arithmetic Perceptrons." Neural Computation, 1995.](https://mlanthology.org/neco/1995/cannas1995neco-arithmetic/) doi:10.1162/NECO.1995.7.1.173

BibTeX

@article{cannas1995neco-arithmetic,
  title     = {{Arithmetic Perceptrons}},
  author    = {Cannas, Sergio A.},
  journal   = {Neural Computation},
  year      = {1995},
  pages     = {173-181},
  doi       = {10.1162/NECO.1995.7.1.173},
  volume    = {7},
  url       = {https://mlanthology.org/neco/1995/cannas1995neco-arithmetic/}
}