Image Algebra And Its Relationship To Neural Networks

G. X. Ritter; D. Li; J. N. Wilson

doi:10.1117/12.960428

30 August 1989 Image Algebra And Its Relationship To Neural Networks

G. X. Ritter, D. Li, J. N. Wilson

Proceedings Volume 1098, Aerospace Pattern Recognition; (1989) https://doi.org/10.1117/12.960428
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

Abstract

In this paper we show that the mathematical theory known as image algebra not only incorporates the mathematics underlying artificial neural networks, but also provides for novel methods of neural computing. These methods are not covered by current neural network models but are an intrinsic part of the image algebra. In this sense, image algebra provides a mathematical framework for a more general theory of artificial neural networks and a language for computing with neural networks.

Citation Download Citation

G. X. Ritter, D. Li, and J. N. Wilson "Image Algebra And Its Relationship To Neural Networks", Proc. SPIE 1098, Aerospace Pattern Recognition, (30 August 1989); https://doi.org/10.1117/12.960428

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available