Accession Number:

ADD020156

Title:

Probability Distribution Classification Processor

Descriptive Note:

Patent application, Filed 26 May 2004

Corporate Author:

DEPARTMENT OF THE NAVY WASHINGTON DC

Personal Author(s):

Report Date:

2004-05-26

Pagination or Media Count:

32.0

Abstract:

This patent application discloses a system and method that preferably comprises several groups of artificial neural networks ANNs for classifying the probability distribution of random data. Each group of artificial neural networks is preferably trained to produce a selected output in response to data having a particular probability distribution, and each group preferably analyzes a different sample size of data. A parameter estimator module calculates statistical parameters for the different size data samples. The outputs of the several groups of artificial networks and of the parameter estimator are analyzed by a rule-based decision logic module which then selects the type of probability distribution that best describes the random data based on rules that correspond to ranges of values of the outputs of the artificial neural networks. 6 figures

Subject Categories:

  • Statistics and Probability
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE