Name
Abstract | ||
|---|---|---|
We construct a three-layer feedforward network (one hidden layer) which can solve the N-bit parity problem employing just two hidden units. We discuss the implications of employing problem constraints into transfer functions for general pattern classification problems. |
Year | DOI | Venue |
|---|---|---|
1992 | 10.1016/S0893-6080(05)80088-7 | Neural Networks |
Keywords | Field | DocType |
Neural network,Parity,Exclusive-OR problem,Neural transfer function,Pattern classification | Parity bit,Algorithm,Transfer function,Parity (mathematics),Artificial neural network,Problema,Parity problem,Mathematics,Feed forward | Journal |
Volume | Issue | ISSN |
5 | 6 | 0893-6080 |
Citations | PageRank | References |
22 | 2.65 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David G. Stork | 1 | 627 | 106.17 |
| James D. Allen | 2 | 68 | 9.83 |