In this paper, the N-bit parity problem is solved with a neural network that allows direct connections between the input layer and the output layer.

In this letter, a constructive solution to the N-bit parity problem is provided with a neural network that allows direct connections between the input layer ...

In this paper, the N-bit parity problem is solved with a neural network that allows direct connections between the input layer and the output layer.

Semantic Scholar extracted view of "N-bit parity neural networks: new solutions based on linear programming" by Derong Liu et al.

We propose a solution to the N-bit parity problem based ... N-bit parity neural networks: new solutions based on linear programming, Neurocomputing 48 (2002), 477 ...

Feb 5, 2023 · Theoretically they should be able to learn the parity problem, but it's hard to get it to do so. I actually referenced a paper that did a proof ...

Feb 28, 2012 · According to the section "Parity" in [2], the answer is that at least for small n , back-propagation on a single-layer neural network can learn ...

Feb 15, 2024 · Will neural networks evolve and find solutions to all solvable problems eventually? Unfortunately, no. There is an infinite class of ...

We propose a fast polynomial-time approach for training neural networks based on ... For example, consider the n-bit parity function which takes an n-bit binary.