Multilayer neural network with a fuzzy controlled learning method for optical pattern training

Xin Lin; Masahiko Mori

doi:10.1117/1.1290583

1 October 2000 Multilayer neural network with a fuzzy controlled learning method for optical pattern training

Xin Lin, Masahiko Mori

Optical Engineering, Vol. 39, Issue 10, (October 2000). https://doi.org/10.1117/1.1290583

A fast learning method for neural networks learning system using fuzzy controlling is proposed. By the fuzzy controlled theory, the learning rate and the nonlinear gain of the output function in the back- propagation algorithm are adjusted based on training error and training time. The effectiveness of this learning method is demonstrated in optical pattern training.

Citation Download Citation

Xin Lin and Masahiko Mori "Multilayer neural network with a fuzzy controlled learning method for optical pattern training," Optical Engineering 39(10), (1 October 2000). https://doi.org/10.1117/1.1290583

Published: 1 October 2000

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