Hoo Optimality Criteria for LMS and Backpropagation
Hassibi, Babak, Sayed, Ali H., Kailath, Thomas
–Neural Information Processing Systems
This fact provides a theoretical justification of the widely observed excellent robustness properties of the LMS and backpropagation algorithms. We further discuss some implications of these results. 1 Introduction The LMS algorithm was originally conceived as an approximate recursive procedure that solves the following problem (Widrow and Hoff, 1960): given a sequence of n x 1 input column vectors {hd, and a corresponding sequence of desired scalar responses { di
Neural Information Processing Systems
Dec-31-1994
- Country:
- North America > United States > California > Santa Barbara County > Santa Barbara (0.14)
- Technology: