#### Filter Results:

#### Publication Year

1981

2003

#### Co-author

#### Publication Venue

Learn More

It is shown that a Hopfield neural network (with linear transfer functions) augmented by an additional feedforward layer can be used to compute the Moore-Penrose generalized inverse of a matrix. The resultant augmented linear Hopfield network can be used to solve an arbitrary set of linear equations or, alternatively, to solve a constrained least squares… (More)

- ‹
- 1
- ›