Path: utzoo!utgpu!jarvis.csri.toronto.edu!mailrus!tut.cis.ohio-state.edu!bloom-beacon!apple!oliveb!ames!elroy!jane!mathew
From: mathew@jane.Jpl.Nasa.Gov (Mathew Yeates)
Newsgroups: comp.ai.neural-nets
Subject: Re: NOISE FILTERING USING NEURAL NETWORKS
Keywords: NOISE FILTERING NEURAL-NETWORKS EKG SIGNALS
Message-ID: <14825@elroy.Jpl.Nasa.Gov>
Date: 29 Mar 89 17:14:51 GMT
References: <4537@okstate.UUCP>
Sender: news@elroy.Jpl.Nasa.Gov
Reply-To: mathew@jane.Jpl.Nasa.Gov (Mathew Yeates)
Organization: Image Analysis Systems Grp, JPL
Lines: 23

In article <4537@okstate.UUCP> ramkuma@a.cs.okstate.edu (Ramkumar P Rangana) writes:
>Do anyone have some reference articles on NOISE FILTERING 
>in EKG SIGNALS ( OR any signals) using NEURAL-NETWORK techniques?
>(Any application of Neural Nets to NOISE FILTERING.)
>
>Any information in this area is Welcome.
>
>Thanks in advance.
>
>(ramkuma@a.cs.okstate.edu)

I've developed a neural implementation of the sequential regression
algorithm found in Widrows "Adaptive Signal Signal Processing".
(its a pseudo-Newton algorithm). As it turns out, the net can also
do Kalman filtering by allowing a local interdependence between synapses.
Precisely, a new weight is calculated as a function of its old weight
and the weight of a single neighbor. It is biologicaly intuitive that
synapse changes should not occurr independently and adding this feature
to my model allows for more powerful processing.

If you want a copy of my "An Architecture With Neural Network
Characteristics for Least Squares Problems" e-mail your request to
mathew@jane.jpl.nasa.gov.