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