Accession Number : ADA262354


Title :   Neural Networks, Reliability and Data Analysis


Corporate Author : ROME LAB ROME NY


Personal Author(s) : Yaworsky, Paul S ; Vaccaro, James M


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a262354.pdf


Report Date : Jan 1993


Pagination or Media Count : 73


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.


Descriptors :   *NEURAL NETS , *STATISTICAL DATA , *RELIABILITY(ELECTRONICS) , IMPACT , NETWORKS , PROCESSING , STATISTICS , MAINTAINABILITY , RELIABILITY , FEASIBILITY STUDIES , INFORMATION PROCESSING


Subject Categories : Computer Systems


Distribution Statement : APPROVED FOR PUBLIC RELEASE