Recognizing the untrained patterns in a noniterative perceptron learning scheme

Chia-Lun John Hu; Jeng-Yoong Tan; Xue-Jiang Cheng; John R. Eynon; Osama Husson

doi:10.1117/12.152621

19 August 1993 Recognizing the untrained patterns in a noniterative perceptron learning scheme

Chia-Lun John Hu; Jeng-Yoong Tan; Xue-Jiang Cheng; John R. Eynon; Osama Husson

Author Affiliations +

Proceedings Volume 1966, Science of Artificial Neural Networks II; (1993) https://doi.org/10.1117/12.152621
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

As we reported previously, a deterministic hard-limited perceptron is a novel learning system in which the learning mechanism is different from most of the conventional learning systems. It is a noniterative, one-step learning system and yet is achieves most of the goals of the conventional learning. If an optimum algorithm is adopted in the design of this learning system, the learning is very fast and the recognition is very robust. This article reports the experimental results of several computer-implemented schemes of this novel learning system. It is seen that the system takes only one to two minutes to train several given patterns and the recognition of the untrained patterns is more than 80% successful. In one scheme, the recognition rate is almost 100% and the recognition is independent of the pattern size, pattern orientation, and pattern location.

Citation Download Citation

Chia-Lun John Hu, Chia-Lun John Hu, Jeng-Yoong Tan, Jeng-Yoong Tan, Xue-Jiang Cheng, Xue-Jiang Cheng, John R. Eynon, John R. Eynon, Osama Husson, Osama Husson, } "Recognizing the untrained patterns in a noniterative perceptron learning scheme", Proc. SPIE 1966, Science of Artificial Neural Networks II, (19 August 1993); doi: 10.1117/12.152621; https://doi.org/10.1117/12.152621

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

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

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years