Comparison of two neural net classifiers to a quadratic classifier for millimeter-wave radar

Joe R. Brown; Mark Roger Bower; Hal E. Beck; Susan J. Archer

doi:10.1117/12.21172

1 August 1990 Comparison of two neural net classifiers to a quadratic classifier for millimeter-wave radar

Joe R. Brown, Mark Roger Bower, Hal E. Beck, Susan J. Archer

Proceedings Volume 1294, Applications of Artificial Neural Networks; (1990) https://doi.org/10.1117/12.21172
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

Abstract

This paper describes the comparison of three classifiers for use in an automatic target recognition (ATR) system for millimeter wave (MMW) radar data. The three classifiers were the quadratic (Bayesian-like), the multilayer perceptron using a backpropagation training algorithm (termed backpropagation for short), and the counterpropagation network. Two data sets, statistical with four classes and real radar data with three classes, were used for training and testing all three classifiers. Three experiments were performed including: comparing the performances between the three classifiers on both the statistical feature set and the real radar data; optimal configuration for the backpropagation network; and the number of training iterations required for optimal performance using the backpropagation network before overtraining occurred.

Citation Download Citation

Joe R. Brown, Mark Roger Bower, Hal E. Beck, and Susan J. Archer "Comparison of two neural net classifiers to a quadratic classifier for millimeter-wave radar", Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); https://doi.org/10.1117/12.21172

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