Title :
A new method for storing weights in analog neural hardware
Author :
Livingston, D.L. ; Albin, S. ; Park, S.M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Old Dominion Univ., Norfolk, VA, USA
Abstract :
An optoelectronic method for nonvolatile storage of analog weights in artificial network hardware is proposed. A pulse of light of selected wavelength is used to store analog information by forcing electrons in a suitably engineered medium into stable energy levels. The information is retrieved by exposing the medium to light of a second wavelength which drops the stored electrons back into their initial energy levels, creating a proportionate number of photons which can be detected using a photodiode. This is suggested as a technique, called quantum storage, which can be used to represent analog weights in neural hardware
Keywords :
neural nets; optical information processing; optical storage; analog neural hardware; nonvolatile storage; optoelectronic; photodiode; quantum storage; storing weights; Application software; Artificial neural networks; Computational modeling; Computer simulation; Electrons; Energy states; Intelligent networks; Neural network hardware; Neural networks; Optical signal processing;
Conference_Titel :
Southeastcon '91., IEEE Proceedings of
Conference_Location :
Williamsburg, VA
Print_ISBN :
0-7803-0033-5
DOI :
10.1109/SECON.1991.147710