Neural Networks, Reliability and Data Analysis

Abstract

Neural network technology has been surveyed with the intent of determining the feasibility and impact neural networks may have in the area of automated reliability tools. Data analysis capabilities of neural networks appear to be very applicable to reliability science due to similar mathematical foundations. Research on data issues is described, with the goal of providing insight into automating intelligent information processing and data analysis. The development of the Statistical Neural Network is also described, emphasizing how statistics can be used to indicate and help determine natural tendencies in data.... Neural networks, Reliability, Data analysis, Automated reliability tools, Automated intelligent information processing, Statistical neural network.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1993
Accession Number
ADA262354

Entities

People

  • James M. Vaccaro
  • Paul S. Yaworsky

Organizations

  • Rome Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Automata Theory
  • Cognition
  • Cognitive Science
  • Computational Science
  • Computer Programming
  • Computers
  • Control Systems
  • Data Processing
  • Information Processing
  • Information Science
  • Information Systems
  • Mathematical Analysis
  • Mathematical Models
  • Neural Networks
  • Psychology

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks