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
fDate :
9/1/1994 12:00:00 AM
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;
Journal_Title :
Automatic Control, IEEE Transactions on
