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

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