Future Trends and Directions

  • N. B. Karayiannis
  • A. N. Venetsanopoulos
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 209)


Both the number of papers published in the scientific literature and the number of professional society meetings in the field of neural networks are growing rapidly. A number of technical disciplines are involved in the wide variety of university, government and industrial-based activities and studies. Psychologists, neurobiologists, neurophysiologists, mathematicians, physicists, computer scientists, and engineers are studying the issues of neural networks, formulating new theories, proposing new architectures, fast algorithms and implementations.


Neural Network Artificial Neural Network Gallium Arsenide Technical Discipline Analog VLSI 
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.

Copyright information

© Springer Science+Business Media New York 1993

Authors and Affiliations

  • N. B. Karayiannis
    • 1
  • A. N. Venetsanopoulos
    • 2
  1. 1.University of HoustonUSA
  2. 2.University of TorontoCanada

Personalised recommendations