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.
The main advantages of neural networks are the flexibility of architecture and ability to training. These advantages allow using neural networks for solving many difficult problems. One of them is the processing of data collected by fiber-optical measuring systems. The principles of organization of optical neural-like system for analog data processing are represented. The practical realization of this system on a matrix of photoelectric cells allows to obtain a parallel processing of an optical information for physical field distribution reconstruction.
Igor V. Denisov,Yuri N. Kulchin,Valentin F. Obuh, andOleg T. Kamenev
"Principles of organization of neural-like system on the basis of a matrix of photoelectric cells", Proc. SPIE 4513, Optoelectronic Information Systems and Processing, (8 August 2001); https://doi.org/10.1117/12.435900
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
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.
The alert did not successfully save. Please try again later.
Igor V. Denisov, Yuri N. Kulchin, Valentin F. Obuh, Oleg T. Kamenev, "Principles of organization of neural-like system on the basis of a matrix of photoelectric cells," Proc. SPIE 4513, Optoelectronic Information Systems and Processing, (8 August 2001); https://doi.org/10.1117/12.435900