Solving arithmetic problems using feed-forward neural networks

We design new feed-forward multi-layered neural networks which perform di erent elementary arithmetic operations, such as bit shifting, addition of N p-bit numbers, and multiplication of two n-bit numbers. All the structures are optimal in depth and are polinomialy bounded in the number of neurons and in the number of synapses. The whole set of synaptic couplings and thresholds are obtained exactly.

• Type: Journal
• Year: 1998
• Where: IJON
• Authors: Leonardo Franco, Sergio A. Cannas
• Keywords: Elementary Arithmetic Operations, IJON 1998, Multi-layered Neural Networks, N-bit Numbers