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Adjacent errors of stochastic gradient algorithms under general error criteria

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2 Author(s)
Anant, V. ; Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA ; Priemer, R.

This paper gives a method to distinguish between the transient and steady states of stochastic gradient algorithms under general error criteria using inequalities that exist among a set of output errors called adjacent errors. Based on these inequalities, a variable step size LMF algorithm is proposed which improves convergence and gives lower misadjustment

Published in:

Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on  (Volume:2 )

Date of Conference:

3-6 Aug 1997