An injection laser neural network

Author

Schleipen, J.J.H.B. ; Colak, S.B. ; Mos, E.C. ; Liedenbaum, C.T.H.

Author_Institution

Philips Res. Lab., Eindhoven, Netherlands

fYear

1994

fDate

26-28 Sep 1994

Firstpage

8

Lastpage

11

Abstract

In this study an optical laser neural network is described, using longitudinal modes of an injection laser as individual neurons. Neural action is provided by external optical feedback into the active layer of the laser. Sigmoidal thresholding of weighted inputs is governed by injection laser physics under conditions of optical feedback. Training of the network is done by supervised stochastic learning algorithms. Ultimate network response times are estimated to exceed the 10 giga connections per second (GCPS) range

Keywords

laser beam applications; laser feedback; laser modes; learning (artificial intelligence); neural chips; optical neural nets; semiconductor lasers; active layer; external optical feedback; injection laser; longitudinal modes; network response times; optical laser neural network; sigmoidal thresholding; supervised stochastic learning; training; weighted inputs; Laser feedback; Laser modes; Laser theory; Neural networks; Neurons; Optical computing; Optical feedback; Optical fiber networks; Physics; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Microelectronics for Neural Networks and Fuzzy Systems, 1994., Proceedings of the Fourth International Conference on

Conference_Location

Turin

Print_ISBN

0-8186-6710-9

Type

conf

DOI

10.1109/ICMNN.1994.593136

Filename

593136