DocumentCode
1164973
Title
Binary hypothesis testing with structured adaptive networks
Author
Papadakis, Ioannis N.M. ; Thomopoulos, Stelios C A
Author_Institution
Dept. of Electr. & Comput. Eng., Pennsylvania State Univ., University Park, PA, USA
Volume
39
Issue
9
fYear
1994
fDate
9/1/1994 12:00:00 AM
Firstpage
1967
Lastpage
1971
Abstract
The problem of design and evaluation of binary hypothesis tests based on a set of available observations is considered. A so-called structured adaptive network (SAN) configuration for the modeling and implementation of a wide class of such tests is introduced. A general framework for the analysis and performance evaluation of a SAN is developed
Keywords
heuristic programming; neural nets; theorem proving; SAN; binary hypothesis testing; neural nets; structured adaptive networks; Adaptive systems; Bayesian methods; Control systems; Light rail systems; Performance analysis; Probability density function; Statistical analysis; Statistical distributions; Storage area networks; Testing;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.317137
Filename
317137
Link To Document