TR's available

[Jai Choi]

The following technical report is available.
This's been submitted for FUZZ-IEEE '92, San Diego.

A copy will be available by request only to 

Jai J. Choi
Boeing Computer Services
P.O.Box 24346, MS 6C-04
Seattle, WA 98124, USA

or drop your surface address to "jai at sol.boeing.com".

<Title: Non-linear system diagnosis using neural networks and fuzzy logic>.

<Abstract:>

We propose a real-time diagnostic system using a combination of neural networks
 and fuzzy logic.
This neuro-fuzzy hybrid system utilizes real-time processing,
 prediction and data fusion. A layer of n trained neural networks processes
$n$ independent time series (channels) which can be contaminated with
environmental noise.  Each network is trained to predict the future behavior
of one time series.  The prediction error and its rate of change from
each channel are computed and sent to a fuzzy logic decision output stage,
which contains $n+1$ modules. The (n+1)st final-output module performs
data fusion by combining
n individual fuzzy decisions that are tuned to match the domain expert's
need.