Networks of Memory Elements: A Processor for Industrial Automation

  • T. J. Stonham


The classification of non-deterministic data, with par-ticular reference to visual information, is examined. The problem is established by reference to pattern recognition of alphanumeric characters. Networks of memory elements are presented as adaptive learning processors, and their application to the recognition of images subject to varying degrees of constraint is discussed. Pattern detection in a data base, where the relationship between the data and their classification is unspecified, is demonstrated with reference to medical pattern recognition. The implications of pattern detection in general process control are considered.


Artificial Vision Pattern Detection Memory Element Adaptive Logic Alphanumeric Character 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    T. J. Stonham (1976): A classification system for alphanumeric characters based on learning network techniques. Digital Processes, vol. 2, p. 321.Google Scholar
  2. 2.
    W. W. Bledsoe and I. Browning (1959): Pattern recognition and reading by machine. Proc. Eastern Joint Comp. Conf., p. 225.Google Scholar
  3. 3.
    I. Aleksander (1970): Microcircuit learning nets—Hamming distance behaviour. Electronic Letters, vol. 6, p. 134.CrossRefGoogle Scholar
  4. 4.
    T. J. Stonham (1977): Improved Hamming distance analysis for digital learning networks. Electronic Letters, vol. 6, p. 155.CrossRefGoogle Scholar
  5. 5.
    I. Aleksander and T. J. Stonham (1979): A guide to pattern recognition using random access memories. Computers & Digital Techniques, vol. 2, p. 29.CrossRefGoogle Scholar
  6. 6.
    L. Gupta (1980): Orientation independent pattern recognition with networks of memory elements. M. Sc. dissertation, Brunel University, U.K.Google Scholar

Copyright information

© Crane Russak & Company Inc 1982

Authors and Affiliations

  • T. J. Stonham
    • 1
  1. 1.Department of Electrical Engineering & ElectronicsBrunel UniversityEngland

Personalised recommendations